Upload tiny models for VideoMAEForVideoClassification

config.json

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+{
+  "architectures": [
+    "VideoMAEForVideoClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "decoder_hidden_size": 384,
+  "decoder_intermediate_size": 1536,
+  "decoder_num_attention_heads": 6,
+  "decoder_num_hidden_layers": 4,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": 10,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-12,
+  "model_type": "videomae",
+  "norm_pix_loss": true,
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_frames": 2,
+  "num_hidden_layers": 5,
+  "patch_size": 2,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "tubelet_size": 2,
+  "use_mean_pooling": true
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 10,
+    "width": 10
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "VideoMAEImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 10
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6673e9d8ac037dcf46e8e591d48c3da0e3a99ba6fb5525df96a214d4dc543f8c
+size 164964