| { | |
| "_name_or_path": "facebook/vit-msn-small", | |
| "architectures": [ | |
| "ViTMSNForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "eosinophils", | |
| "1": "lymphocytes", | |
| "2": "monocytes", | |
| "3": "neutrophils" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "label2id": { | |
| "eosinophils": 0, | |
| "lymphocytes": 1, | |
| "monocytes": 2, | |
| "neutrophils": 3 | |
| }, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "vit_msn", | |
| "num_attention_heads": 6, | |
| "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" | |
| } | |