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Upload MobileViTForImageClassification

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  1. config.json +61 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "apple/mobilevit-small",
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+ "architectures": [
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+ "MobileViTForImageClassification"
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+ ],
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+ "aspp_dropout_prob": 0.1,
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+ "aspp_out_channels": 256,
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+ "atrous_rates": [
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+ 6,
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+ 12,
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+ 18
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "classifier_dropout_prob": 0.1,
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+ "conv_kernel_size": 3,
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+ "expand_ratio": 4.0,
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+ "hidden_act": "silu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_sizes": [
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+ 144,
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+ 192,
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+ 240
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+ ],
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+ "id2label": {
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+ "0": "0",
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+ "1": "1",
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+ "2": "2",
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+ "3": "3",
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+ "4": "4"
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+ },
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+ "image_size": 256,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "0": 0,
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+ "1": 1,
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+ "2": 2,
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+ "3": 3,
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+ "4": 4
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "mlp_ratio": 2.0,
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+ "model_type": "mobilevit",
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+ "neck_hidden_sizes": [
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+ 16,
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+ 32,
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+ 64,
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+ 96,
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+ 128,
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+ 160,
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+ 640
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+ ],
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+ "num_attention_heads": 4,
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+ "num_channels": 3,
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+ "output_stride": 32,
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+ "patch_size": 2,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "semantic_loss_ignore_index": 255,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2"
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:978bc6ec178d6ff70c2527b34bd451263481dec3ef1b276dbcc36ede3f79b96d
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+ size 19937401