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cristiancaita
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supermarket-AI

Image Classification
TensorBoard
Safetensors
resnet
Trained with AutoTrain
Model card Files Metrics Community
supermarket-AI
File size: 2,179 Bytes 
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{
  "_name_or_path": "microsoft/resnet-50",
  "_num_labels": 28,
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Camisas",
    "1": "Fruta_Arandano",
    "2": "Fruta_Banana",
    "3": "Fruta_Cebolla Blanca",
    "4": "Fruta_Cereza",
    "5": "Fruta_Ciruela",
    "6": "Fruta_Durazno",
    "7": "Fruta_Frambuesa",
    "8": "Fruta_Fresa",
    "9": "Fruta_Granada",
    "10": "Fruta_Kiwi",
    "11": "Fruta_Limon",
    "12": "Fruta_Mango",
    "13": "Fruta_Manzana Braeburn",
    "14": "Fruta_Mazorca",
    "15": "Fruta_Naranja",
    "16": "Fruta_Papaya",
    "17": "Fruta_Passion Fruit",
    "18": "Fruta_Pera",
    "19": "Fruta_Pimenton Rojo",
    "20": "Fruta_Pimenton Verde",
    "21": "Fruta_Pi\u00f1a",
    "22": "Fruta_Sandia",
    "23": "Fruta_Tomate",
    "24": "Fruta_Uva",
    "25": "Pantalones",
    "26": "Zapatos",
    "27": "gaseosa"
  },
  "label2id": {
    "Camisas": 0,
    "Fruta_Arandano": 1,
    "Fruta_Banana": 2,
    "Fruta_Cebolla Blanca": 3,
    "Fruta_Cereza": 4,
    "Fruta_Ciruela": 5,
    "Fruta_Durazno": 6,
    "Fruta_Frambuesa": 7,
    "Fruta_Fresa": 8,
    "Fruta_Granada": 9,
    "Fruta_Kiwi": 10,
    "Fruta_Limon": 11,
    "Fruta_Mango": 12,
    "Fruta_Manzana Braeburn": 13,
    "Fruta_Mazorca": 14,
    "Fruta_Naranja": 15,
    "Fruta_Papaya": 16,
    "Fruta_Passion Fruit": 17,
    "Fruta_Pera": 18,
    "Fruta_Pimenton Rojo": 19,
    "Fruta_Pimenton Verde": 20,
    "Fruta_Pi\u00f1a": 21,
    "Fruta_Sandia": 22,
    "Fruta_Tomate": 23,
    "Fruta_Uva": 24,
    "Pantalones": 25,
    "Zapatos": 26,
    "gaseosa": 27
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.45.0"
}