{
  "_name_or_path": "hf-internal-testing/tiny-random-SiglipModel",
  "architectures": [
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  ],
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  "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"
}