| { | |
| "_name_or_path": "facebook/deit-tiny-patch16-224", | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 192, | |
| "id2label": { | |
| "0": "ASCUS", | |
| "1": "Cancer", | |
| "2": "HSIL", | |
| "3": "LSIL", | |
| "4": "NILM", | |
| "5": "Non-Diagnostic" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 768, | |
| "label2id": { | |
| "ASCUS": 0, | |
| "Cancer": 1, | |
| "HSIL": 2, | |
| "LSIL": 3, | |
| "NILM": 4, | |
| "Non-Diagnostic": 5 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "vit", | |
| "num_attention_heads": 3, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.44.2" | |
| } | |