Adding ONNX file of this model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+onnx/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -21,15 +21,19 @@ tags:
 - multilingual
 - mteb
 - sentence-transformers
+- onnx
+pipeline_tag: sentence-similarity
 model-index:
 - name: ibm-granite/granite-embedding-278m-multilingual
   results:
-  - dataset:
-      config: en-ext
+  - task:
+      type: Classification
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en-ext)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en-ext
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 73.4333
@@ -43,14 +47,14 @@ model-index:
       value: 23.347
     - type: main_score
       value: 73.4333
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 71.806
@@ -64,14 +68,14 @@ model-index:
       value: 34.045700000000004
     - type: main_score
       value: 71.806
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB AmazonPolarityClassification (default)
-      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
-      split: test
       type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
       value: 67.5907
@@ -85,14 +89,14 @@ model-index:
       value: 62.0368
     - type: main_score
       value: 67.5907
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonReviewsClassification (en)
-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
-      split: test
       type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
       value: 37.278
@@ -102,14 +106,14 @@ model-index:
       value: 36.4099
     - type: main_score
       value: 37.278
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB AppsRetrieval (default)
-      revision: f22508f96b7a36c2415181ed8bb76f76e04ae2d5
-      split: test
       type: CoIR-Retrieval/apps
+      config: default
+      split: test
+      revision: f22508f96b7a36c2415181ed8bb76f76e04ae2d5
     metrics:
     - type: ndcg_at_1
       value: 3.453
@@ -393,14 +397,14 @@ model-index:
       value: 30.7653
     - type: main_score
       value: 6.214
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArguAna (default)
-      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
-      split: test
       type: mteb/arguana
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
     metrics:
     - type: ndcg_at_1
       value: 31.152
@@ -684,14 +688,14 @@ model-index:
       value: 10.641399999999999
     - type: main_score
       value: 55.24400000000001
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB ArxivClusteringP2P (default)
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-      split: test
       type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
       value: 43.1321
@@ -699,14 +703,14 @@ model-index:
       value: 13.594000000000001
     - type: main_score
       value: 43.1321
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArxivClusteringS2S (default)
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-      split: test
       type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
       value: 32.9343
@@ -714,14 +718,14 @@ model-index:
       value: 14.2478
     - type: main_score
       value: 32.9343
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB AskUbuntuDupQuestions (default)
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-      split: test
       type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
       value: 62.3443
@@ -741,14 +745,14 @@ model-index:
       value: 19.1211
     - type: main_score
       value: 62.3443
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB BIOSSES (default)
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
-      split: test
       type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: pearson
       value: 84.3253
@@ -768,14 +772,14 @@ model-index:
       value: 81.6362
     - type: main_score
       value: 81.6362
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB Banking77Classification (default)
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-      split: test
       type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
       value: 78.0617
@@ -785,14 +789,14 @@ model-index:
       value: 77.2085
     - type: main_score
       value: 78.0617
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB BiorxivClusteringP2P (default)
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-      split: test
       type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
       value: 35.8271
@@ -800,14 +804,14 @@ model-index:
       value: 0.7191000000000001
     - type: main_score
       value: 35.8271
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB BiorxivClusteringS2S (default)
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-      split: test
       type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
       value: 30.3905
@@ -815,14 +819,14 @@ model-index:
       value: 0.7136
     - type: main_score
       value: 30.3905
-    task:
-      type: Clustering
-  - dataset:
-      config: python
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (python)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: python
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 83.22800000000001
@@ -1106,14 +1110,14 @@ model-index:
       value: 89.1168
     - type: main_score
       value: 88.789
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (javascript)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: javascript
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 29.14
@@ -1397,14 +1401,14 @@ model-index:
       value: 55.3852
     - type: main_score
       value: 38.778
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (go)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: go
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 42.809999999999995
@@ -1688,14 +1692,14 @@ model-index:
       value: 56.725300000000004
     - type: main_score
       value: 56.296
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (ruby)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: ruby
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 31.721
@@ -1979,14 +1983,14 @@ model-index:
       value: 53.4268
     - type: main_score
       value: 42.536
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (java)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: java
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 36.887
@@ -2270,14 +2274,14 @@ model-index:
       value: 58.3678
     - type: main_score
       value: 48.54
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB COIRCodeSearchNetRetrieval (php)
-      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
-      split: test
       type: CoIR-Retrieval/CodeSearchNet
+      config: php
+      split: test
+      revision: 4adc7bc41202b5c13543c9c886a25f340634dab3
     metrics:
     - type: ndcg_at_1
       value: 30.734
@@ -2561,14 +2565,14 @@ model-index:
       value: 50.2532
     - type: main_score
       value: 42.510999999999996
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackAndroidRetrieval (default)
-      revision: f46a197baaae43b4f621051089b82a364682dfeb
-      split: test
       type: mteb/cqadupstack-android
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
     metrics:
     - type: ndcg_at_1
       value: 42.918
@@ -2852,14 +2856,14 @@ model-index:
       value: 46.812799999999996
     - type: main_score
       value: 53.047999999999995
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackEnglishRetrieval (default)
-      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
-      split: test
       type: mteb/cqadupstack-english
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
     metrics:
     - type: ndcg_at_1
       value: 35.796
@@ -3143,14 +3147,14 @@ model-index:
       value: 44.8928
     - type: main_score
       value: 43.868
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGamingRetrieval (default)
-      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
-      split: test
       type: mteb/cqadupstack-gaming
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
     metrics:
     - type: ndcg_at_1
       value: 43.448
@@ -3434,14 +3438,14 @@ model-index:
       value: 52.121399999999994
     - type: main_score
       value: 56.369
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGisRetrieval (default)
-      revision: 5003b3064772da1887988e05400cf3806fe491f2
-      split: test
       type: mteb/cqadupstack-gis
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
     metrics:
     - type: ndcg_at_1
       value: 31.863999999999997
@@ -3725,14 +3729,14 @@ model-index:
       value: 38.4264
     - type: main_score
       value: 43.503
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackMathematicaRetrieval (default)
-      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
-      split: test
       type: mteb/cqadupstack-mathematica
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
     metrics:
     - type: ndcg_at_1
       value: 22.637
@@ -4016,14 +4020,14 @@ model-index:
       value: 30.9234
     - type: main_score
       value: 32.024
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackPhysicsRetrieval (default)
-      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
-      split: test
       type: mteb/cqadupstack-physics
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
     metrics:
     - type: ndcg_at_1
       value: 36.477
@@ -4307,14 +4311,14 @@ model-index:
       value: 50.6012
     - type: main_score
       value: 47.316
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackProgrammersRetrieval (default)
-      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
-      split: test
       type: mteb/cqadupstack-programmers
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
     metrics:
     - type: ndcg_at_1
       value: 33.676
@@ -4598,14 +4602,14 @@ model-index:
       value: 44.222
     - type: main_score
       value: 43.580999999999996
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackRetrieval (default)
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-      split: test
       type: CQADupstackRetrieval_is_a_combined_dataset
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
     metrics:
     - type: ndcg_at_1
       value: 32.588499999999996
@@ -4889,27 +4893,27 @@ model-index:
       value: 43.299625
     - type: main_score
       value: 42.74341666666667
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackRetrieval (default)
-      revision: CQADupstackRetrieval_is_a_combined_dataset
-      split: test
       type: CQADupstackRetrieval_is_a_combined_dataset
+      config: default
+      split: test
+      revision: CQADupstackRetrieval_is_a_combined_dataset
     metrics:
     - type: main_score
       value: 42.743416666666675
     - type: ndcg_at_10
       value: 42.743416666666675
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackStatsRetrieval (default)
-      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
-      split: test
       type: mteb/cqadupstack-stats
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
     metrics:
     - type: ndcg_at_1
       value: 27.607
@@ -5193,14 +5197,14 @@ model-index:
       value: 50.3081
     - type: main_score
       value: 36.796
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackTexRetrieval (default)
-      revision: 46989137a86843e03a6195de44b09deda022eec7
-      split: test
       type: mteb/cqadupstack-tex
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
     metrics:
     - type: ndcg_at_1
       value: 23.159
@@ -5484,14 +5488,14 @@ model-index:
       value: 36.5259
     - type: main_score
       value: 31.775
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackUnixRetrieval (default)
-      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
-      split: test
       type: mteb/cqadupstack-unix
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
     metrics:
     - type: ndcg_at_1
       value: 34.981
@@ -5775,14 +5779,14 @@ model-index:
       value: 49.8286
     - type: main_score
       value: 45.275
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWebmastersRetrieval (default)
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-      split: test
       type: mteb/cqadupstack-webmasters
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
     metrics:
     - type: ndcg_at_1
       value: 32.806000000000004
@@ -6066,14 +6070,14 @@ model-index:
       value: 42.3078
     - type: main_score
       value: 42.957
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWordpressRetrieval (default)
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-      split: test
       type: mteb/cqadupstack-wordpress
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
     metrics:
     - type: ndcg_at_1
       value: 25.692999999999998
@@ -6357,14 +6361,14 @@ model-index:
       value: 32.6251
     - type: main_score
       value: 36.409000000000006
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ClimateFEVER (default)
-      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
-      split: test
       type: mteb/climate-fever
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
     metrics:
     - type: ndcg_at_1
       value: 26.971
@@ -6648,14 +6652,14 @@ model-index:
       value: 23.974899999999998
     - type: main_score
       value: 29.494
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeFeedbackMT (default)
-      revision: b0f12fa0c0dd67f59c95a5c33d02aeeb4c398c5f
-      split: test
       type: CoIR-Retrieval/codefeedback-mt
+      config: default
+      split: test
+      revision: b0f12fa0c0dd67f59c95a5c33d02aeeb4c398c5f
     metrics:
     - type: ndcg_at_1
       value: 21.044
@@ -6939,14 +6943,14 @@ model-index:
       value: 41.7802
     - type: main_score
       value: 31.391999999999996
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeFeedbackST (default)
-      revision: d213819e87aab9010628da8b73ab4eb337c89340
-      split: test
       type: CoIR-Retrieval/codefeedback-st
+      config: default
+      split: test
+      revision: d213819e87aab9010628da8b73ab4eb337c89340
     metrics:
     - type: ndcg_at_1
       value: 51.227000000000004
@@ -7230,14 +7234,14 @@ model-index:
       value: 63.382000000000005
     - type: main_score
       value: 67.72200000000001
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: python
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (python)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: python
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 32.417
@@ -7521,14 +7525,14 @@ model-index:
       value: 50.1074
     - type: main_score
       value: 45.532000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (javascript)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: javascript
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 33.364
@@ -7812,14 +7816,14 @@ model-index:
       value: 48.0248
     - type: main_score
       value: 46.024
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (go)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: go
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 26.471
@@ -8103,14 +8107,14 @@ model-index:
       value: 41.4381
     - type: main_score
       value: 37.555
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (ruby)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: ruby
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 36.003
@@ -8394,14 +8398,14 @@ model-index:
       value: 51.7548
     - type: main_score
       value: 47.549
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (java)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: java
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 33.355000000000004
@@ -8685,14 +8689,14 @@ model-index:
       value: 48.8277
     - type: main_score
       value: 45.539
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB CodeSearchNetCCRetrieval (php)
-      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
-      split: test
       type: CoIR-Retrieval/CodeSearchNet-ccr
+      config: php
+      split: test
+      revision: 6e1effa2c03723c5fde48ee912b5ee08d4f211e8
     metrics:
     - type: ndcg_at_1
       value: 25.139
@@ -8976,14 +8980,14 @@ model-index:
       value: 45.191900000000004
     - type: main_score
       value: 35.942
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: python
+    dataset:
       name: MTEB CodeSearchNetRetrieval (python)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: python
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 70.89999999999999
@@ -9267,14 +9271,14 @@ model-index:
       value: 68.3376
     - type: main_score
       value: 83.12
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: javascript
+    dataset:
       name: MTEB CodeSearchNetRetrieval (javascript)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: javascript
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 57.99999999999999
@@ -9558,14 +9562,14 @@ model-index:
       value: 67.08579999999999
     - type: main_score
       value: 70.34
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: go
+    dataset:
       name: MTEB CodeSearchNetRetrieval (go)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: go
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 75.6
@@ -9849,14 +9853,14 @@ model-index:
       value: 74.4583
     - type: main_score
       value: 86.139
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ruby
+    dataset:
       name: MTEB CodeSearchNetRetrieval (ruby)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: ruby
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 61.3
@@ -10140,14 +10144,14 @@ model-index:
       value: 69.0767
     - type: main_score
       value: 74.736
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: java
+    dataset:
       name: MTEB CodeSearchNetRetrieval (java)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: java
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 55.1
@@ -10431,14 +10435,14 @@ model-index:
       value: 60.16010000000001
     - type: main_score
       value: 70.89
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: php
+    dataset:
       name: MTEB CodeSearchNetRetrieval (php)
-      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
-      split: test
       type: code-search-net/code_search_net
+      config: php
+      split: test
+      revision: fdc6a9e39575768c27eb8a2a5f702bf846eb4759
     metrics:
     - type: ndcg_at_1
       value: 56.89999999999999
@@ -10722,14 +10726,14 @@ model-index:
       value: 63.048300000000005
     - type: main_score
       value: 72.92999999999999
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeTransOceanContest (default)
-      revision: 20da4eb20a4b17300c0986ee148c90867a7f2a4d
-      split: test
       type: CoIR-Retrieval/codetrans-contest
+      config: default
+      split: test
+      revision: 20da4eb20a4b17300c0986ee148c90867a7f2a4d
     metrics:
     - type: ndcg_at_1
       value: 50.226000000000006
@@ -11013,14 +11017,14 @@ model-index:
       value: 71.28710000000001
     - type: main_score
       value: 60.831
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CodeTransOceanDL (default)
-      revision: 281562cb8a1265ab5c0824bfa6ddcd9b0a15618f
-      split: test
       type: CoIR-Retrieval/codetrans-dl
+      config: default
+      split: test
+      revision: 281562cb8a1265ab5c0824bfa6ddcd9b0a15618f
     metrics:
     - type: ndcg_at_1
       value: 8.889
@@ -11304,14 +11308,14 @@ model-index:
       value: 9.591
     - type: main_score
       value: 32.138
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CosQA (default)
-      revision: bc5efb7e9d437246ce393ed19d772e08e4a79535
-      split: test
       type: CoIR-Retrieval/cosqa
+      config: default
+      split: test
+      revision: bc5efb7e9d437246ce393ed19d772e08e4a79535
     metrics:
     - type: ndcg_at_1
       value: 14.6
@@ -11595,14 +11599,14 @@ model-index:
       value: 24.0998
     - type: main_score
       value: 33.452
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB DBPedia (default)
-      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
-      split: test
       type: mteb/dbpedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
     metrics:
     - type: ndcg_at_1
       value: 48.75
@@ -11886,14 +11890,14 @@ model-index:
       value: 47.7958
     - type: main_score
       value: 34.565
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB EmotionClassification (default)
-      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
-      split: test
       type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
       value: 36.449999999999996
@@ -11903,14 +11907,14 @@ model-index:
       value: 38.7818
     - type: main_score
       value: 36.449999999999996
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB FEVER (default)
-      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
-      split: test
       type: mteb/fever
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
     metrics:
     - type: ndcg_at_1
       value: 77.93299999999999
@@ -12194,14 +12198,14 @@ model-index:
       value: 64.1637
     - type: main_score
       value: 84.932
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB FiQA2018 (default)
-      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
-      split: test
       type: mteb/fiqa
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
     metrics:
     - type: ndcg_at_1
       value: 34.259
@@ -12485,14 +12489,14 @@ model-index:
       value: 46.399699999999996
     - type: main_score
       value: 35.663
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB HotpotQA (default)
-      revision: ab518f4d6fcca38d87c25209f94beba119d02014
-      split: test
       type: mteb/hotpotqa
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
     metrics:
     - type: ndcg_at_1
       value: 75.908
@@ -12776,14 +12780,14 @@ model-index:
       value: 69.503
     - type: main_score
       value: 61.513
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ImdbClassification (default)
-      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
-      split: test
       type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
       value: 63.0232
@@ -12797,14 +12801,14 @@ model-index:
       value: 58.377199999999995
     - type: main_score
       value: 63.0232
-    task:
-      type: Classification
-  - dataset:
-      config: ar
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB MIRACLRetrieval (ar)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: ar
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 57.459
@@ -13088,14 +13092,14 @@ model-index:
       value: 41.6879
     - type: main_score
       value: 64.238
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: bn
+    dataset:
       name: MTEB MIRACLRetrieval (bn)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: bn
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 60.341
@@ -13379,14 +13383,14 @@ model-index:
       value: 40.7358
     - type: main_score
       value: 68.05499999999999
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: de
+    dataset:
       name: MTEB MIRACLRetrieval (de)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: de
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 45.574
@@ -13670,14 +13674,14 @@ model-index:
       value: 42.620000000000005
     - type: main_score
       value: 48.123
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MIRACLRetrieval (en)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: en
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 45.556999999999995
@@ -13961,14 +13965,14 @@ model-index:
       value: 30.0019
     - type: main_score
       value: 49.372
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: es
+    dataset:
       name: MTEB MIRACLRetrieval (es)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: es
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 55.71
@@ -14252,14 +14256,14 @@ model-index:
       value: 32.1927
     - type: main_score
       value: 49.688
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: fa
+    dataset:
       name: MTEB MIRACLRetrieval (fa)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: fa
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 39.873
@@ -14543,14 +14547,14 @@ model-index:
       value: 20.4831
     - type: main_score
       value: 50.226000000000006
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: fi
+    dataset:
       name: MTEB MIRACLRetrieval (fi)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: fi
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 60.818000000000005
@@ -14834,14 +14838,14 @@ model-index:
       value: 48.753600000000006
     - type: main_score
       value: 67.46
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: fr
+    dataset:
       name: MTEB MIRACLRetrieval (fr)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: fr
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 39.65
@@ -15125,14 +15129,14 @@ model-index:
       value: 22.6855
     - type: main_score
       value: 49.891000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: hi
+    dataset:
       name: MTEB MIRACLRetrieval (hi)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: hi
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 36.857
@@ -15416,14 +15420,14 @@ model-index:
       value: 35.1808
     - type: main_score
       value: 46.141
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: id
+    dataset:
       name: MTEB MIRACLRetrieval (id)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: id
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 46.354
@@ -15707,14 +15711,14 @@ model-index:
       value: 27.054000000000002
     - type: main_score
       value: 47.229
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ja
+    dataset:
       name: MTEB MIRACLRetrieval (ja)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: ja
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 56.279
@@ -15998,14 +16002,14 @@ model-index:
       value: 42.1768
     - type: main_score
       value: 62.81
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ko
+    dataset:
       name: MTEB MIRACLRetrieval (ko)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: ko
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 52.581999999999994
@@ -16289,14 +16293,14 @@ model-index:
       value: 41.166199999999996
     - type: main_score
       value: 59.216
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: ru
+    dataset:
       name: MTEB MIRACLRetrieval (ru)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: ru
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 47.524
@@ -16580,14 +16584,14 @@ model-index:
       value: 33.353300000000004
     - type: main_score
       value: 52.349000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: sw
+    dataset:
       name: MTEB MIRACLRetrieval (sw)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: sw
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 51.66
@@ -16871,14 +16875,14 @@ model-index:
       value: 36.696400000000004
     - type: main_score
       value: 61.271
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: te
+    dataset:
       name: MTEB MIRACLRetrieval (te)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: te
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 63.647
@@ -17162,14 +17166,14 @@ model-index:
       value: 59.1847
     - type: main_score
       value: 79.149
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: th
+    dataset:
       name: MTEB MIRACLRetrieval (th)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: th
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 66.712
@@ -17453,14 +17457,14 @@ model-index:
       value: 46.5276
     - type: main_score
       value: 73.324
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: yo
+    dataset:
       name: MTEB MIRACLRetrieval (yo)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: yo
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 49.58
@@ -17744,14 +17748,14 @@ model-index:
       value: 50.3215
     - type: main_score
       value: 68.705
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: zh
+    dataset:
       name: MTEB MIRACLRetrieval (zh)
-      revision: main
-      split: dev
       type: miracl/mmteb-miracl
+      config: zh
+      split: dev
+      revision: main
     metrics:
     - type: ndcg_at_1
       value: 47.583
@@ -18035,14 +18039,14 @@ model-index:
       value: 29.526799999999998
     - type: main_score
       value: 52.553000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB MSMARCO (default)
-      revision: c5a29a104738b98a9e76336939199e264163d4a0
-      split: dev
       type: mteb/msmarco
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
     metrics:
     - type: ndcg_at_1
       value: 14.155000000000001
@@ -18326,14 +18330,14 @@ model-index:
       value: 24.7274
     - type: main_score
       value: 29.866999999999997
-    task:
-      type: Retrieval
-  - dataset:
-      config: en
+  - task:
+      type: Classification
+    dataset:
       name: MTEB MTOPDomainClassification (en)
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
-      split: test
       type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
       value: 89.89970000000001
@@ -18343,14 +18347,14 @@ model-index:
       value: 89.8682
     - type: main_score
       value: 89.89970000000001
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MTOPIntentClassification (en)
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
-      split: test
       type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
       value: 60.26899999999999
@@ -18360,14 +18364,14 @@ model-index:
       value: 63.033899999999996
     - type: main_score
       value: 60.26899999999999
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveIntentClassification (en)
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: test
       type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 63.9509
@@ -18377,14 +18381,14 @@ model-index:
       value: 62.8
     - type: main_score
       value: 63.9509
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveScenarioClassification (en)
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: test
       type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 70.928
@@ -18394,29 +18398,29 @@ model-index:
       value: 70.6366
     - type: main_score
       value: 70.928
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB MedrxivClusteringP2P (default)
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
-      split: test
       type: mteb/medrxiv-clustering-p2p
-    metrics:
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
     - type: v_measure
       value: 31.522
     - type: v_measure_std
       value: 1.5528
     - type: main_score
       value: 31.522
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB MedrxivClusteringS2S (default)
-      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
-      split: test
       type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
       value: 28.572599999999998
@@ -18424,14 +18428,14 @@ model-index:
       value: 1.8154
     - type: main_score
       value: 28.572599999999998
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB MindSmallReranking (default)
-      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
-      split: test
       type: mteb/mind_small
+      config: default
+      split: test
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
     metrics:
     - type: map
       value: 30.5381
@@ -18451,14 +18455,14 @@ model-index:
       value: 13.2721
     - type: main_score
       value: 30.5381
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB NFCorpus (default)
-      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
-      split: test
       type: mteb/nfcorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
     metrics:
     - type: ndcg_at_1
       value: 38.080000000000005
@@ -18742,14 +18746,14 @@ model-index:
       value: 34.3718
     - type: main_score
       value: 28.903000000000002
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB NQ (default)
-      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
-      split: test
       type: mteb/nq
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
     metrics:
     - type: ndcg_at_1
       value: 34.589
@@ -19033,14 +19037,14 @@ model-index:
       value: 32.6192
     - type: main_score
       value: 53.410000000000004
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB QuoraRetrieval (default)
-      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
-      split: test
       type: mteb/quora
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
     metrics:
     - type: ndcg_at_1
       value: 79.64
@@ -19324,14 +19328,14 @@ model-index:
       value: 75.84349999999999
     - type: main_score
       value: 86.871
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB RedditClustering (default)
-      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
-      split: test
       type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
       value: 45.8568
@@ -19339,14 +19343,14 @@ model-index:
       value: 5.685
     - type: main_score
       value: 45.8568
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB RedditClusteringP2P (default)
-      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
-      split: test
       type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: v_measure
       value: 54.9896
@@ -19354,14 +19358,14 @@ model-index:
       value: 12.0517
     - type: main_score
       value: 54.9896
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SCIDOCS (default)
-      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
-      split: test
       type: mteb/scidocs
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
     metrics:
     - type: ndcg_at_1
       value: 20.599999999999998
@@ -19645,14 +19649,14 @@ model-index:
       value: 23.392599999999998
     - type: main_score
       value: 17.721
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB SICK-R (default)
-      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
-      split: test
       type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: pearson
       value: 75.5378
@@ -19672,14 +19676,14 @@ model-index:
       value: 68.7448
     - type: main_score
       value: 68.7448
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS12 (default)
-      revision: a0d554a64d88156834ff5ae9920b964011b16384
-      split: test
       type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: pearson
       value: 81.6341
@@ -19699,14 +19703,14 @@ model-index:
       value: 75.1934
     - type: main_score
       value: 75.1911
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS13 (default)
-      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
-      split: test
       type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: pearson
       value: 76.4378
@@ -19726,14 +19730,14 @@ model-index:
       value: 77.3053
     - type: main_score
       value: 77.3053
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS14 (default)
-      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
-      split: test
       type: mteb/sts14-sts
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: pearson
       value: 78.4342
@@ -19753,14 +19757,14 @@ model-index:
       value: 74.94800000000001
     - type: main_score
       value: 74.9479
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS15 (default)
-      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
-      split: test
       type: mteb/sts15-sts
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: pearson
       value: 85.1908
@@ -19780,14 +19784,14 @@ model-index:
       value: 86.0174
     - type: main_score
       value: 86.0174
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS16 (default)
-      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
-      split: test
       type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: pearson
       value: 80.5421
@@ -19807,14 +19811,14 @@ model-index:
       value: 81.9568
     - type: main_score
       value: 81.9568
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-tr
+    dataset:
       name: MTEB STS17 (en-tr)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-tr
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 48.2717
@@ -19834,14 +19838,14 @@ model-index:
       value: 44.642900000000004
     - type: main_score
       value: 44.642900000000004
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: it-en
+    dataset:
       name: MTEB STS17 (it-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: it-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 67.8601
@@ -19861,14 +19865,14 @@ model-index:
       value: 68.2763
     - type: main_score
       value: 68.2763
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-en
+    dataset:
       name: MTEB STS17 (en-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 78.05539999999999
@@ -19888,14 +19892,14 @@ model-index:
       value: 78.5929
     - type: main_score
       value: 78.5929
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-ar
+    dataset:
       name: MTEB STS17 (en-ar)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-ar
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 59.4349
@@ -19915,14 +19919,14 @@ model-index:
       value: 59.838800000000006
     - type: main_score
       value: 59.838800000000006
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: fr-en
+    dataset:
       name: MTEB STS17 (fr-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: fr-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 73.84039999999999
@@ -19942,14 +19946,14 @@ model-index:
       value: 74.2498
     - type: main_score
       value: 74.2498
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: nl-en
+    dataset:
       name: MTEB STS17 (nl-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: nl-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 67.9218
@@ -19969,14 +19973,14 @@ model-index:
       value: 68.0418
     - type: main_score
       value: 68.0418
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS17 (es-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: es-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 70.381
@@ -19996,14 +20000,14 @@ model-index:
       value: 69.5729
     - type: main_score
       value: 69.5729
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-de
+    dataset:
       name: MTEB STS17 (en-de)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-de
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: pearson
       value: 70.0196
@@ -20023,14 +20027,14 @@ model-index:
       value: 69.7175
     - type: main_score
       value: 69.7175
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: de-en
+    dataset:
       name: MTEB STS22 (de-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: de-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 65.7536
@@ -20050,14 +20054,14 @@ model-index:
       value: 60.04429999999999
     - type: main_score
       value: 60.04429999999999
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en
+    dataset:
       name: MTEB STS22 (en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 68.997
@@ -20077,14 +20081,14 @@ model-index:
       value: 68.1508
     - type: main_score
       value: 68.1508
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS22 (es-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: es-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 80.2006
@@ -20104,14 +20108,14 @@ model-index:
       value: 80.4702
     - type: main_score
       value: 80.4702
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: zh-en
+    dataset:
       name: MTEB STS22 (zh-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: zh-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 74.0885
@@ -20131,14 +20135,14 @@ model-index:
       value: 72.4574
     - type: main_score
       value: 72.4574
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: pl-en
+    dataset:
       name: MTEB STS22 (pl-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: pl-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: pearson
       value: 74.1794
@@ -20158,14 +20162,14 @@ model-index:
       value: 70.6749
     - type: main_score
       value: 70.6749
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STSBenchmark (default)
-      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
-      split: test
       type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: pearson
       value: 76.7328
@@ -20185,14 +20189,14 @@ model-index:
       value: 78.4076
     - type: main_score
       value: 78.4076
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB SciDocsRR (default)
-      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
-      split: test
       type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
       value: 79.6097
@@ -20212,14 +20216,14 @@ model-index:
       value: 49.763600000000004
     - type: main_score
       value: 79.6097
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SciFact (default)
-      revision: 0228b52cf27578f30900b9e5271d331663a030d7
-      split: test
       type: mteb/scifact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
     metrics:
     - type: ndcg_at_1
       value: 54.0
@@ -20503,14 +20507,14 @@ model-index:
       value: 66.43050000000001
     - type: main_score
       value: 65.847
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB SprintDuplicateQuestions (default)
-      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
-      split: test
       type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: similarity_accuracy
       value: 99.7386
@@ -20594,14 +20598,14 @@ model-index:
       value: 93.50840000000001
     - type: main_score
       value: 93.50840000000001
-    task:
-      type: PairClassification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB StackExchangeClustering (default)
-      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
-      split: test
       type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
       value: 55.9311
@@ -20609,14 +20613,14 @@ model-index:
       value: 5.0881
     - type: main_score
       value: 55.9311
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB StackExchangeClusteringP2P (default)
-      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
-      split: test
       type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
       value: 32.9298
@@ -20624,14 +20628,14 @@ model-index:
       value: 1.7169
     - type: main_score
       value: 32.9298
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB StackOverflowDupQuestions (default)
-      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
-      split: test
       type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
       value: 51.7759
@@ -20651,14 +20655,14 @@ model-index:
       value: 37.3753
     - type: main_score
       value: 51.7759
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB StackOverflowQA (default)
-      revision: db8f169f3894c14a00251061f957b2063eef2bd5
-      split: test
       type: CoIR-Retrieval/stackoverflow-qa
+      config: default
+      split: test
+      revision: db8f169f3894c14a00251061f957b2063eef2bd5
     metrics:
     - type: ndcg_at_1
       value: 68.205
@@ -20942,14 +20946,14 @@ model-index:
       value: 77.837
     - type: main_score
       value: 78.45
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Summarization
+    dataset:
       name: MTEB SummEval (default)
-      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
-      split: test
       type: mteb/summeval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: pearson
       value: 31.7097
@@ -20965,14 +20969,14 @@ model-index:
       value: 31.7097
     - type: main_score
       value: 32.0256
-    task:
-      type: Summarization
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SyntheticText2SQL (default)
-      revision: 686b87296c3a0191b5d9415a00526c62db9fce09
-      split: test
       type: CoIR-Retrieval/synthetic-text2sql
+      config: default
+      split: test
+      revision: 686b87296c3a0191b5d9415a00526c62db9fce09
     metrics:
     - type: ndcg_at_1
       value: 3.5549999999999997
@@ -21256,14 +21260,14 @@ model-index:
       value: -53.976
     - type: main_score
       value: 47.344
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TRECCOVID (default)
-      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
-      split: test
       type: mteb/trec-covid
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
     metrics:
     - type: ndcg_at_1
       value: 70.0
@@ -21547,14 +21551,14 @@ model-index:
       value: -26.309700000000003
     - type: main_score
       value: 68.573
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB Touche2020 (default)
-      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
-      split: test
       type: mteb/touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
     metrics:
     - type: ndcg_at_1
       value: 41.837
@@ -21838,14 +21842,14 @@ model-index:
       value: -19.7412
     - type: main_score
       value: 27.306
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ToxicConversationsClassification (default)
-      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
-      split: test
       type: mteb/toxic_conversations_50k
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 62.480500000000006
@@ -21859,14 +21863,14 @@ model-index:
       value: 10.9948
     - type: main_score
       value: 62.480500000000006
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TweetSentimentExtractionClassification (default)
-      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
-      split: test
       type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
       value: 58.3616
@@ -21876,14 +21880,14 @@ model-index:
       value: 57.801
     - type: main_score
       value: 58.3616
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB TwentyNewsgroupsClustering (default)
-      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
-      split: test
       type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
       value: 38.6199
@@ -21891,14 +21895,14 @@ model-index:
       value: 2.3855999999999997
     - type: main_score
       value: 38.6199
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB TwitterSemEval2015 (default)
-      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
-      split: test
       type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: similarity_accuracy
       value: 82.9886
@@ -21982,14 +21986,14 @@ model-index:
       value: 64.4131
     - type: main_score
       value: 64.4131
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TwitterURLCorpus (default)
-      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
-      split: test
       type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: similarity_accuracy
       value: 88.95100000000001
@@ -22073,9 +22077,6 @@ model-index:
       value: 86.1545
     - type: main_score
       value: 86.1545
-    task:
-      type: PairClassification
-pipeline_tag: sentence-similarity
 ---
 # Granite-Embedding-278m-multilingual
 

onnx/config.json

@@ -0,0 +1,28 @@
+{
+  "_attn_implementation_autoset": true,
+  "architectures": [
+    "XLMRobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "export_model_type": "transformer",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

onnx/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4772f27fcc55b1349d7c7b71fb9f98301f55535dfed68891caf782d4b75a53f0
+size 1110155573

onnx/special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

onnx/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20
+size 17082734

onnx/tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}