|
{ |
|
"_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": "4.31.0" |
|
} |
|
|