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TurkishFoods-25

Image Classification
Transformers
Safetensors
English
siglip
TurkishFoods-25
SigLIP2
93M
Model card Files
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TurkishFoods-25
File size: 2,083 Bytes 
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{
  "architectures": [
    "SiglipForImageClassification"
  ],
  "id2label": {
    "0": "asure",
    "1": "baklava",
    "2": "biber_dolmasi",
    "3": "borek",
    "4": "cig_kofte",
    "5": "enginar",
    "6": "et_sote",
    "7": "gozleme",
    "8": "hamsi",
    "9": "hunkar_begendi",
    "10": "icli_kofte",
    "11": "ispanak",
    "12": "izmir_kofte",
    "13": "karniyarik",
    "14": "kebap",
    "15": "kisir",
    "16": "kuru_fasulye",
    "17": "lahmacun",
    "18": "lokum",
    "19": "manti",
    "20": "mucver",
    "21": "pirinc_pilavi",
    "22": "simit",
    "23": "taze_fasulye",
    "24": "yaprak_sarma"
  },
  "initializer_factor": 1.0,
  "label2id": {
    "asure": 0,
    "baklava": 1,
    "biber_dolmasi": 2,
    "borek": 3,
    "cig_kofte": 4,
    "enginar": 5,
    "et_sote": 6,
    "gozleme": 7,
    "hamsi": 8,
    "hunkar_begendi": 9,
    "icli_kofte": 10,
    "ispanak": 11,
    "izmir_kofte": 12,
    "karniyarik": 13,
    "kebap": 14,
    "kisir": 15,
    "kuru_fasulye": 16,
    "lahmacun": 17,
    "lokum": 18,
    "manti": 19,
    "mucver": 20,
    "pirinc_pilavi": 21,
    "simit": 22,
    "taze_fasulye": 23,
    "yaprak_sarma": 24
  },
  "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"
  }
}