| { | |
| "_name_or_path": "ner_model", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "\u653f\u6cbb\u7684\u7d44\u7e54\u540d", | |
| "1": "\u5730\u540d", | |
| "2": "O", | |
| "3": "\u30a4\u30d9\u30f3\u30c8\u540d", | |
| "4": "\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d", | |
| "5": "\u6cd5\u4eba\u540d", | |
| "6": "\u65bd\u8a2d\u540d", | |
| "7": "\u88fd\u54c1\u540d", | |
| "8": "\u4eba\u540d" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "O": 2, | |
| "\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d": 4, | |
| "\u30a4\u30d9\u30f3\u30c8\u540d": 3, | |
| "\u4eba\u540d": 8, | |
| "\u5730\u540d": 1, | |
| "\u653f\u6cbb\u7684\u7d44\u7e54\u540d": 0, | |
| "\u65bd\u8a2d\u540d": 6, | |
| "\u6cd5\u4eba\u540d": 5, | |
| "\u88fd\u54c1\u540d": 7 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.32.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 32768 | |
| } | |