| { |
| "transformers_version": "5.12.1", |
| "architectures": [ |
| "DistilBertForTokenClassification" |
| ], |
| "output_hidden_states": false, |
| "return_dict": true, |
| "dtype": "bfloat16", |
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| "is_encoder_decoder": false, |
| "id2label": { |
| "0": "O", |
| "1": "B-Disease", |
| "2": "I-Disease" |
| }, |
| "label2id": { |
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| "I-Disease": 2, |
| "O": 0 |
| }, |
| "problem_type": null, |
| "vocab_size": 28996, |
| "max_position_embeddings": 512, |
| "sinusoidal_pos_embds": false, |
| "n_layers": 6, |
| "n_heads": 12, |
| "dim": 768, |
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| "tie_word_embeddings": true, |
| "_name_or_path": "OpenMed/OpenMed-NER-PathologyDetect-TinyMed-65M", |
| "model_type": "distilbert", |
| "output_past": true, |
| "tie_weights_": true, |
| "output_attentions": false, |
| "max_sequence_length": 512 |
| } |