| { |
| "transformers_version": "5.5.0", |
| "architectures": [ |
| "DistilBertForTokenClassification" |
| ], |
| "output_hidden_states": false, |
| "return_dict": true, |
| "dtype": "bfloat16", |
| "chunk_size_feed_forward": 0, |
| "is_encoder_decoder": false, |
| "id2label": { |
| "0": "O", |
| "1": "B-Disease", |
| "2": "I-Disease" |
| }, |
| "label2id": { |
| "B-Disease": 1, |
| "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, |
| "hidden_dim": 3072, |
| "dropout": 0.1, |
| "attention_dropout": 0.1, |
| "activation": "gelu", |
| "initializer_range": 0.02, |
| "qa_dropout": 0.1, |
| "seq_classif_dropout": 0.2, |
| "pad_token_id": 0, |
| "eos_token_id": null, |
| "bos_token_id": null, |
| "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, |
| "_mlx_task": "token-classification", |
| "_mlx_family": "bert", |
| "hidden_size": 768, |
| "num_attention_heads": 12, |
| "num_hidden_layers": 6, |
| "intermediate_size": 3072, |
| "hidden_dropout_prob": 0.1, |
| "attention_probs_dropout_prob": 0.1, |
| "layer_norm_eps": 1e-12, |
| "type_vocab_size": 0, |
| "_mlx_position_offset": 0, |
| "_mlx_model_type": "bert", |
| "num_labels": 3, |
| "_mlx_weights_format": "safetensors" |
| } |
