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upload new twak model

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model/config.json ADDED
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+ {
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+ "architectures": [
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+ "SiglipForImageClassification"
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+ ],
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+ "dtype": "float32",
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+ "id2label": {
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+ "0": "Acne",
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+ "1": "Arsenic",
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+ "10": "Tinea_Corporis",
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+ "11": "Tinea_Cruris",
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+ "12": "Tinea_Faciei",
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+ "13": "Vitiligo",
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+ "2": "Atopic_Dermatitis",
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+ "3": "Candidal_Intertrigo",
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+ "4": "Contact_Dermatitis",
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+ "5": "Eczema",
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+ "6": "Psoriasis",
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+ "7": "Scabies",
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+ "8": "Seborrheic_Dermatitis",
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+ "9": "Steroid_Modified_Tinea"
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+ },
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+ "initializer_factor": 1.0,
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+ "label2id": {
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+ "Acne": "0",
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+ "Arsenic": "1",
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+ "Atopic_Dermatitis": "2",
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+ "Candidal_Intertrigo": "3",
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+ "Contact_Dermatitis": "4",
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+ "Eczema": "5",
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+ "Psoriasis": "6",
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+ "Scabies": "7",
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+ "Seborrheic_Dermatitis": "8",
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+ "Steroid_Modified_Tinea": "9",
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+ "Tinea_Corporis": "10",
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+ "Tinea_Cruris": "11",
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+ "Tinea_Faciei": "12",
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+ "Vitiligo": "13"
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+ },
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+ "model_type": "siglip",
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+ "problem_type": "multi_label_classification",
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+ "text_config": {
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+ "attention_dropout": 0.0,
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+ "dtype": "float32",
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1152,
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+ "intermediate_size": 4304,
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+ "layer_norm_eps": 1e-06,
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+ "max_position_embeddings": 64,
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+ "model_type": "siglip_text_model",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 27,
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+ "projection_size": 1152,
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+ "vocab_size": 32000
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+ },
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+ "transformers_version": "4.57.3",
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+ "vision_config": {
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+ "attention_dropout": 0.0,
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+ "dtype": "float32",
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1152,
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+ "image_size": 448,
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+ "intermediate_size": 4304,
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+ "layer_norm_eps": 1e-06,
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+ "model_type": "siglip_vision_model",
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+ "num_attention_heads": 16,
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+ "num_channels": 3,
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+ "num_hidden_layers": 27,
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+ "patch_size": 14
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+ }
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+ }
model/model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c91627c5624f8ebfb3b6c3030cc750bf15abf413d183c2cf8effce3c674440b6
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+ size 1714381384
model/preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "image_mean": [0.5, 0.5, 0.5],
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+ "image_processor_type": "SiglipImageProcessor",
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+ "image_std": [0.5, 0.5, 0.5],
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+ "processor_class": "SiglipProcessor",
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862,
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+ "size": {
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+ "height": 448,
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+ "width": 448
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+ }
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+ }
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+