File size: 1,913 Bytes
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"architectures": [
"SiglipForImageClassification"
],
"id2label": {
"0": "\"rotate anticlockwise\"",
"1": "\"increase\"",
"2": "\"release\"",
"3": "\"switch\"",
"4": "\"look up\"",
"5": "\"Terminate\"",
"6": "\"decrease\"",
"7": "\"move backward\"",
"8": "\"point\"",
"9": "\"rotate clockwise\"",
"10": "\"grasp\"",
"11": "\"pause\"",
"12": "\"move forward\"",
"13": "\"Confirm\"",
"14": "\"look down\"",
"15": "\"move left\"",
"16": "\"move right\""
},
"initializer_factor": 1.0,
"label2id": {
"\"Confirm\"": 13,
"\"Terminate\"": 5,
"\"decrease\"": 6,
"\"grasp\"": 10,
"\"increase\"": 1,
"\"look down\"": 14,
"\"look up\"": 4,
"\"move backward\"": 7,
"\"move forward\"": 12,
"\"move left\"": 15,
"\"move right\"": 16,
"\"pause\"": 11,
"\"point\"": 8,
"\"release\"": 2,
"\"rotate anticlockwise\"": 0,
"\"rotate clockwise\"": 9,
"\"switch\"": 3
},
"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": "4.50.2",
"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"
}
}
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