Hugging Face's logo

Xenova
/
transformers.js

ONNX
Model card Files
xet
Community
5
Joshua Lochner commited on
Commit
58f7634
·
1 Parent(s): 8eadc35

Add `mobilebert-uncased` for `masked-lm`

Browse files
Files changed (12) hide show
  1. quantized/google/mobilebert-uncased/default/config.json +32 -0
  2. quantized/google/mobilebert-uncased/default/model.onnx +3 -0
  3. quantized/google/mobilebert-uncased/default/special_tokens_map.json +7 -0
  4. quantized/google/mobilebert-uncased/default/tokenizer.json +0 -0
  5. quantized/google/mobilebert-uncased/default/tokenizer_config.json +13 -0
  6. quantized/google/mobilebert-uncased/default/vocab.txt +0 -0
  7. quantized/google/mobilebert-uncased/masked-lm/config.json +32 -0
  8. quantized/google/mobilebert-uncased/masked-lm/model.onnx +3 -0
  9. quantized/google/mobilebert-uncased/masked-lm/special_tokens_map.json +7 -0
  10. quantized/google/mobilebert-uncased/masked-lm/tokenizer.json +0 -0
  11. quantized/google/mobilebert-uncased/masked-lm/tokenizer_config.json +13 -0
  12. quantized/google/mobilebert-uncased/masked-lm/vocab.txt +0 -0
quantized/google/mobilebert-uncased/default/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mobilebert-uncased",
3
+ "architectures": [
4
+ "MobileBertForPreTraining"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_activation": false,
8
+ "classifier_dropout": null,
9
+ "embedding_size": 128,
10
+ "hidden_act": "relu",
11
+ "hidden_dropout_prob": 0.0,
12
+ "hidden_size": 512,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 512,
15
+ "intra_bottleneck_size": 128,
16
+ "key_query_shared_bottleneck": true,
17
+ "layer_norm_eps": 1e-12,
18
+ "max_position_embeddings": 512,
19
+ "model_type": "mobilebert",
20
+ "normalization_type": "no_norm",
21
+ "num_attention_heads": 4,
22
+ "num_feedforward_networks": 4,
23
+ "num_hidden_layers": 24,
24
+ "pad_token_id": 0,
25
+ "transformers_version": "4.27.2",
26
+ "trigram_input": true,
27
+ "true_hidden_size": 128,
28
+ "type_vocab_size": 2,
29
+ "use_bottleneck": true,
30
+ "use_bottleneck_attention": false,
31
+ "vocab_size": 30522
32
+ }
quantized/google/mobilebert-uncased/default/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:411f2734b0ee88d712aaa0965a29359d93f04d533d310534939d7d09413e0ff2
3
+ size 26760270
quantized/google/mobilebert-uncased/default/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
quantized/google/mobilebert-uncased/default/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
quantized/google/mobilebert-uncased/default/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "do_lower_case": true,
4
+ "mask_token": "[MASK]",
5
+ "model_max_length": 1000000000000000019884624838656,
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "special_tokens_map_file": null,
9
+ "strip_accents": null,
10
+ "tokenize_chinese_chars": true,
11
+ "tokenizer_class": "MobileBertTokenizer",
12
+ "unk_token": "[UNK]"
13
+ }
quantized/google/mobilebert-uncased/default/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
quantized/google/mobilebert-uncased/masked-lm/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mobilebert-uncased",
3
+ "architectures": [
4
+ "MobileBertForPreTraining"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_activation": false,
8
+ "classifier_dropout": null,
9
+ "embedding_size": 128,
10
+ "hidden_act": "relu",
11
+ "hidden_dropout_prob": 0.0,
12
+ "hidden_size": 512,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 512,
15
+ "intra_bottleneck_size": 128,
16
+ "key_query_shared_bottleneck": true,
17
+ "layer_norm_eps": 1e-12,
18
+ "max_position_embeddings": 512,
19
+ "model_type": "mobilebert",
20
+ "normalization_type": "no_norm",
21
+ "num_attention_heads": 4,
22
+ "num_feedforward_networks": 4,
23
+ "num_hidden_layers": 24,
24
+ "pad_token_id": 0,
25
+ "transformers_version": "4.27.2",
26
+ "trigram_input": true,
27
+ "true_hidden_size": 128,
28
+ "type_vocab_size": 2,
29
+ "use_bottleneck": true,
30
+ "use_bottleneck_attention": false,
31
+ "vocab_size": 30522
32
+ }
quantized/google/mobilebert-uncased/masked-lm/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fe51fcb80463bc0db16b6eba92de4e708c009cd6837959f81287c2b2c311ead
3
+ size 43143477
quantized/google/mobilebert-uncased/masked-lm/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
quantized/google/mobilebert-uncased/masked-lm/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
quantized/google/mobilebert-uncased/masked-lm/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "do_lower_case": true,
4
+ "mask_token": "[MASK]",
5
+ "model_max_length": 1000000000000000019884624838656,
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "special_tokens_map_file": null,
9
+ "strip_accents": null,
10
+ "tokenize_chinese_chars": true,
11
+ "tokenizer_class": "MobileBertTokenizer",
12
+ "unk_token": "[UNK]"
13
+ }
quantized/google/mobilebert-uncased/masked-lm/vocab.txt ADDED
The diff for this file is too large to render. See raw diff