| { |
| "_name_or_path": "google/vit-base-patch16-224", |
| "architectures": [ |
| "ViTForImageClassification" |
| ], |
| "attention_probs_dropout_prob": 0.0, |
| "encoder_stride": 16, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.0, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "dots", |
| "1": "globules-clods", |
| "2": "lines", |
| "3": "network", |
| "4": "pattern", |
| "5": "regression structures", |
| "6": "shiny white structures", |
| "7": "structureless", |
| "8": "vessels" |
| }, |
| "image_size": 224, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "dots": 0, |
| "globules-clods": 1, |
| "lines": 2, |
| "network": 3, |
| "pattern": 4, |
| "regression structures": 5, |
| "shiny white structures": 6, |
| "structureless": 7, |
| "vessels": 8 |
| }, |
| "layer_norm_eps": 1e-12, |
| "model_type": "vit", |
| "num_attention_heads": 12, |
| "num_channels": 3, |
| "num_hidden_layers": 12, |
| "patch_size": 16, |
| "problem_type": "single_label_classification", |
| "qkv_bias": true, |
| "torch_dtype": "float32", |
| "transformers_version": "4.41.2" |
| } |
|
|
