{ "transformers_version": "5.5.0", "architectures": [ "BertForTokenClassification" ], "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": 30522, "hidden_size": 1024, "num_hidden_layers": 24, "num_attention_heads": 16, "intermediate_size": 4096, "hidden_act": "gelu", "hidden_dropout_prob": 0.2, "attention_probs_dropout_prob": 0.2, "max_position_embeddings": 512, "type_vocab_size": 2, "initializer_range": 0.02, "layer_norm_eps": 1e-07, "pad_token_id": 0, "use_cache": true, "classifier_dropout": 0.2, "is_decoder": false, "add_cross_attention": false, "bos_token_id": null, "eos_token_id": null, "tie_word_embeddings": true, "_name_or_path": "OpenMed/OpenMed-NER-PathologyDetect-MultiMed-335M", "gradient_checkpointing": false, "model_type": "bert", "position_embedding_type": "absolute", "output_attentions": false, "_mlx_task": "token-classification", "_mlx_family": "bert", "_mlx_position_offset": 0, "_mlx_model_type": "bert", "num_labels": 3, "_mlx_weights_format": "safetensors" }