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{
"architectures": [
"SiglipForImageClassification"
],
"id2label": {
"0": "A",
"1": "B",
"2": "C",
"3": "D",
"4": "E",
"5": "F",
"6": "G",
"7": "H",
"8": "I",
"9": "J",
"10": "K",
"11": "L",
"12": "M",
"13": "N",
"14": "O",
"15": "P",
"16": "Q",
"17": "R",
"18": "S",
"19": "T",
"20": "U",
"21": "V",
"22": "W",
"23": "X",
"24": "Y",
"25": "Z"
},
"initializer_factor": 1.0,
"label2id": {
"A": 0,
"B": 1,
"C": 2,
"D": 3,
"E": 4,
"F": 5,
"G": 6,
"H": 7,
"I": 8,
"J": 9,
"K": 10,
"L": 11,
"M": 12,
"N": 13,
"O": 14,
"P": 15,
"Q": 16,
"R": 17,
"S": 18,
"T": 19,
"U": 20,
"V": 21,
"W": 22,
"X": 23,
"Y": 24,
"Z": 25
},
"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": "4.51.0.dev0",
"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"
}
}