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b3x0m
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bert-xomlac-ner

Token Classification
Transformers
PyTorch
Safetensors
Chinese
bert
Inference Endpoints
Model card Files Community
3
bert-xomlac-ner
File size: 1,383 Bytes 
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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": "B-TIM",
    "2": "I-TIM",
    "3": "B-PER",
    "4": "I-PER",
    "5": "B-LOC",
    "6": "I-LOC",
    "7": "B-ORG",
    "8": "I-ORG",
    "9": "B-ETC",
    "10": "I-ETC",
    "11": "B-MET",
    "12": "I-MET",
    "13": "B-ABS",
    "14": "I-ABS"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-ABS": 13,
    "B-ETC": 9,
    "B-LOC": 5,
    "B-MET": 11,
    "B-ORG": 7,
    "B-PER": 3,
    "B-TIM": 1,
    "I-ABS": 14,
    "I-ETC": 10,
    "I-LOC": 6,
    "I-MET": 12,
    "I-ORG": 8,
    "I-PER": 4,
    "I-TIM": 2,
    "O": 0
  },
  "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": "4.21.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}