Upload ViTForImageClassification
Browse files- config.json +46 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "google/vit-large-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "actinic keratosis",
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"1": "basal cell carcinoma",
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"2": "dermatofibroma",
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"3": "melanoma",
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"4": "nevus",
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"5": "pigmented benign keratosis",
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"6": "seborrheic keratosis",
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"7": "squamous cell carcinoma",
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"8": "vascular lesion"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"actinic keratosis": "0",
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"basal cell carcinoma": "1",
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"dermatofibroma": "2",
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"melanoma": "3",
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"nevus": "4",
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"pigmented benign keratosis": "5",
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"seborrheic keratosis": "6",
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"squamous cell carcinoma": "7",
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"vascular lesion": "8"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbc9dc4d0a05ea336343875a05c16f1ed334a312449829c63fa4f661f41b67bb
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size 1213377325
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