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bert-base-chinese-word-classifier

Text Classification
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PyTorch
Safetensors
Chinese
bert
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bert-base-chinese-word-classifier
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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
      "0": "open-domain",
      "1": "人文科学",
      "2": "农林渔畜",
      "3": "医学",
      "4": "城市信息大全",
      "5": "娱乐",
      "6": "工程与应用科学",
      "7": "生活",
      "8": "电子游戏",
      "9": "社会科学",
      "10": "自然科学",
      "11": "艺术",
      "12": "运动休闲"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
      "open-domain": 0,
      "人文科学": 1,
      "农林渔畜":  2,
      "医学": 3,
      "城市信息大全":  4,
      "娱乐": 5,
      "工程与应用科学":  6,
      "生活": 7,
      "电子游戏":  8,
      "社会科学": 9,
      "自然科学":  10,
      "艺术": 11,
      "运动休闲":  12
  },
  "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",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.27.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}