system HF staff commited on
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d1b4097
1 Parent(s): 20a6d25

Commit From AutoTrain

Browse files
Files changed (4) hide show
  1. .gitattributes +3 -0
  2. config.json +66 -0
  3. preprocessor_config.json +17 -0
  4. pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
config.json ADDED
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+ {
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+ "_name_or_path": "AutoTrain",
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+ "architectures": [
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+ "SwinForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "depths": [
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+ 2,
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+ 2,
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+ 6,
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+ "drop_path_rate": 0.1,
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+ "embed_dim": 96,
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+ "encoder_stride": 32,
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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": "Ankle boot",
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+ "1": "Bag",
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+ "2": "Coat",
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+ "3": "Dress",
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+ "4": "Pullover",
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+ "5": "Sandal",
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+ "6": "Shirt",
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+ "7": "Sneaker",
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+ "8": "T - shirt / top",
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+ "9": "Trouser"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Ankle boot": "0",
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+ "Bag": "1",
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+ "Coat": "2",
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+ "Dress": "3",
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+ "Pullover": "4",
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+ "Sandal": "5",
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+ "Shirt": "6",
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+ "Sneaker": "7",
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+ "T - shirt / top": "8",
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+ "Trouser": "9"
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_length": 128,
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+ "mlp_ratio": 4.0,
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+ "model_type": "swin",
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+ "num_channels": 3,
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+ "num_heads": [
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+ 3,
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+ 6,
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+ 12,
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+ 24
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+ "num_layers": 4,
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+ "padding": "max_length",
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+ "patch_size": 4,
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+ "path_norm": true,
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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": "4.20.0",
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+ "use_absolute_embeddings": false,
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+ "window_size": 7
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+ }
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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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "image_std": [
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+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "resample": 3,
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+ "size": 224
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+ }
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