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classical-chinese-punctuation-guwen-biaodian

Token Classification Transformers PyTorch Chinese bert ner punctuation 古文 文言文 ancient classical Inference Endpoints
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classical-chinese-punctuation-guwen-biaodian
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{
  "_name_or_path": "bert-base-chinese",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "\u3002",
    "2": "\uff0c",
    "3": "\uff1a",
    "4": "\uff1b",
    "5": "\uff1f",
    "6": "\uff01",
    "7": "\"",
    "8": "\"",
    "9": "'",
    "10": "'",
    "11": "\uff08",
    "12": "\uff09",
    "13": "\"",
    "14": "\"",
    "15": "\uff08",
    "16": "\uff09",
    "17": "\u3010",
    "18": "\u3011",
    "19": "\u3010",
    "20": "\u3011"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\"": 14,
    "'": 10,
    "O": 0,
    "\u3002": 1,
    "\u3010": 19,
    "\u3011": 20,
    "\uff01": 6,
    "\uff08": 15,
    "\uff09": 16,
    "\uff0c": 2,
    "\uff1a": 3,
    "\uff1b": 4,
    "\uff1f": 5
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.12.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}