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Add fine-tuned ViT files
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{
"_name_or_path": "google/vit-base-patch16-224-in21k",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "apple",
"1": "banana",
"2": "cake",
"3": "candy",
"4": "carrot",
"5": "cookie",
"6": "doughnut",
"7": "grape",
"8": "hot dog",
"9": "ice cream",
"10": "juice",
"11": "muffin",
"12": "orange",
"13": "pineapple",
"14": "popcorn",
"15": "pretzel",
"16": "salad",
"17": "strawberry",
"18": "waffle",
"19": "watermelon"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"apple": 0,
"banana": 1,
"cake": 2,
"candy": 3,
"carrot": 4,
"cookie": 5,
"doughnut": 6,
"grape": 7,
"hot dog": 8,
"ice cream": 9,
"juice": 10,
"muffin": 11,
"orange": 12,
"pineapple": 13,
"popcorn": 14,
"pretzel": 15,
"salad": 16,
"strawberry": 17,
"waffle": 18,
"watermelon": 19
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.19.1"
}