{ | |
"_name_or_path": "facebook/convnextv2-large-1k-224", | |
"architectures": [ | |
"ConvNextV2ForImageClassification" | |
], | |
"depths": [ | |
3, | |
3, | |
27, | |
3 | |
], | |
"drop_path_rate": 0.0, | |
"hidden_act": "gelu", | |
"hidden_sizes": [ | |
192, | |
384, | |
768, | |
1536 | |
], | |
"id2label": { | |
"0": "benign", | |
"1": "malignant" | |
}, | |
"image_size": 224, | |
"initializer_range": 0.02, | |
"label2id": { | |
"benign": 0, | |
"malignant": 1 | |
}, | |
"layer_norm_eps": 1e-12, | |
"model_type": "convnextv2", | |
"num_channels": 3, | |
"num_stages": 4, | |
"out_features": [ | |
"stage4" | |
], | |
"out_indices": [ | |
4 | |
], | |
"patch_size": 4, | |
"problem_type": "single_label_classification", | |
"stage_names": [ | |
"stem", | |
"stage1", | |
"stage2", | |
"stage3", | |
"stage4" | |
], | |
"torch_dtype": "float32", | |
"transformers_version": "4.30.2" | |
} | |