add model

README.md

@@ -1,3 +1,5 @@
 ---
 license: mit
 ---
+
+Real models as google/owlvit-base-patch16 have non-contiguous weights in their state dict. This is for testing purposes.

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "hf-tiny-model-private/tiny-random-OwlViTModel",
+  "architectures": [
+    "OwlViTForObjectDetection"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "owlvit",
+  "pad_token_id": 0,
+  "projection_dim": 64,
+  "text_config": {
+    "attention_dropout": 0.1,
+    "dropout": 0.1,
+    "hidden_size": 64,
+    "intermediate_size": 37,
+    "model_type": "owlvit_text_model",
+    "num_attention_heads": 4,
+    "vocab_size": 1024
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0.dev0",
+  "vision_config": {
+    "attention_dropout": 0.1,
+    "dropout": 0.1,
+    "hidden_size": 32,
+    "image_size": 32,
+    "intermediate_size": 37,
+    "model_type": "owlvit_vision_model",
+    "num_attention_heads": 4,
+    "num_hidden_layers": 5,
+    "patch_size": 2
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb24c3ab43fbb9abab87386fbcbeedc50da7e53cd176b7f52df5de96d426754b
+size 1626810