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prithivMLmods
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Indian-Western-Food-34

Image Classification
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Indian-Western-Food-34
File size: 2,457 Bytes 
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{
  "architectures": [
    "SiglipForImageClassification"
  ],
  "id2label": {
    "0": "Baked Potato",
    "1": "Crispy Chicken",
    "2": "Donut",
    "3": "Fries",
    "4": "Hot Dog",
    "5": "Sandwich",
    "6": "Taco",
    "7": "Taquito",
    "8": "Apple Pie",
    "9": "Burger",
    "10": "Butter Naan",
    "11": "Chai",
    "12": "Chapati",
    "13": "Cheesecake",
    "14": "Chicken Curry",
    "15": "Chole Bhature",
    "16": "Dal Makhani",
    "17": "Dhokla",
    "18": "Fried Rice",
    "19": "Ice Cream",
    "20": "Idli",
    "21": "Jalebi",
    "22": "Kaathi Rolls",
    "23": "Kadai Paneer",
    "24": "Kulfi",
    "25": "Masala Dosa",
    "26": "Momos",
    "27": "Omelette",
    "28": "Paani Puri",
    "29": "Pakode",
    "30": "Pav Bhaji",
    "31": "Pizza",
    "32": "Samosa",
    "33": "Sushi"
  },
  "initializer_factor": 1.0,
  "label2id": {
    "Apple Pie": 8,
    "Baked Potato": 0,
    "Burger": 9,
    "Butter Naan": 10,
    "Chai": 11,
    "Chapati": 12,
    "Cheesecake": 13,
    "Chicken Curry": 14,
    "Chole Bhature": 15,
    "Crispy Chicken": 1,
    "Dal Makhani": 16,
    "Dhokla": 17,
    "Donut": 2,
    "Fried Rice": 18,
    "Fries": 3,
    "Hot Dog": 4,
    "Ice Cream": 19,
    "Idli": 20,
    "Jalebi": 21,
    "Kaathi Rolls": 22,
    "Kadai Paneer": 23,
    "Kulfi": 24,
    "Masala Dosa": 25,
    "Momos": 26,
    "Omelette": 27,
    "Paani Puri": 28,
    "Pakode": 29,
    "Pav Bhaji": 30,
    "Pizza": 31,
    "Samosa": 32,
    "Sandwich": 5,
    "Sushi": 33,
    "Taco": 6,
    "Taquito": 7
  },
  "model_type": "siglip",
  "problem_type": "single_label_classification",
  "text_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 768,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-06,
    "max_position_embeddings": 64,
    "model_type": "siglip_text_model",
    "num_attention_heads": 12,
    "num_hidden_layers": 12,
    "projection_size": 768,
    "torch_dtype": "float32",
    "vocab_size": 256000
  },
  "torch_dtype": "float32",
  "transformers_version": "4.50.0",
  "vision_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 768,
    "image_size": 224,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-06,
    "model_type": "siglip_vision_model",
    "num_attention_heads": 12,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "patch_size": 16,
    "torch_dtype": "float32"
  }
}