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  1. config.json +47 -0
  2. modelo.h5 +3 -0
  3. preprocessor_config.json +17 -0
  4. tf_model.h5 +3 -0
config.json ADDED
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+ {
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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": 768,
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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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+ "9": "9"
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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": 3072,
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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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+ "5": "5",
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+ "6": "6",
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+ "7": "7",
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+ "8": "8",
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+ "9": "9"
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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": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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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": "4.22.2"
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+ }
modelo.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 458336
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "ViTFeatureExtractor",
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_std": [
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+ ],
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+ "resample": 2,
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+ "size": 224
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+ }
tf_model.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1c210f40c8e89530e905e8645546a4cd87c1fe5144ff7ec5ddb0f52c392f938e
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+ size 458336