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{
"_name_or_path": "hf-internal-testing/tiny-random-SiglipModel",
"architectures": [
"SiglipVisionModel"
],
"attention_dropout": 0.1,
"dropout": 0.1,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 32,
"image_size": 30,
"initializer_range": 0.02,
"intermediate_size": 37,
"layer_norm_eps": 1e-06,
"model_type": "siglip_vision_model",
"num_attention_heads": 4,
"num_channels": 3,
"num_hidden_layers": 2,
"patch_size": 2,
"torch_dtype": "float32",
"transformers_version": "4.46.2"
}
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