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ken11
/
bert-japanese-ner

Token Classification
Transformers
PyTorch
Japanese
bert
ner
japanese
Inference Endpoints
Model card Files Community
1
bert-japanese-ner
File size: 3,097 Bytes 
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "I-\u5730\u540d",
    "1": "U-\u6cd5\u4eba\u540d",
    "2": "B-\u6cd5\u4eba\u540d",
    "3": "L-\u4eba\u540d",
    "4": "U-\u30a4\u30d9\u30f3\u30c8\u540d",
    "5": "U-\u4eba\u540d",
    "6": "L-\u30a4\u30d9\u30f3\u30c8\u540d",
    "7": "I-\u65bd\u8a2d\u540d",
    "8": "I-\u4eba\u540d",
    "9": "O",
    "10": "B-\u653f\u6cbb\u7684\u7d44\u7e54\u540d",
    "11": "I-\u30a4\u30d9\u30f3\u30c8\u540d",
    "12": "U-\u65bd\u8a2d\u540d",
    "13": "L-\u65bd\u8a2d\u540d",
    "14": "B-\u5730\u540d",
    "15": "L-\u5730\u540d",
    "16": "B-\u65bd\u8a2d\u540d",
    "17": "I-\u88fd\u54c1\u540d",
    "18": "B-\u88fd\u54c1\u540d",
    "19": "L-\u88fd\u54c1\u540d",
    "20": "L-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d",
    "21": "U-\u653f\u6cbb\u7684\u7d44\u7e54\u540d",
    "22": "B-\u4eba\u540d",
    "23": "U-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d",
    "24": "I-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d",
    "25": "U-\u88fd\u54c1\u540d",
    "26": "B-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d",
    "27": "B-\u30a4\u30d9\u30f3\u30c8\u540d",
    "28": "U-\u5730\u540d",
    "29": "I-\u653f\u6cbb\u7684\u7d44\u7e54\u540d",
    "30": "L-\u6cd5\u4eba\u540d",
    "31": "I-\u6cd5\u4eba\u540d",
    "32": "L-\u653f\u6cbb\u7684\u7d44\u7e54\u540d"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d": 26,
    "B-\u30a4\u30d9\u30f3\u30c8\u540d": 27,
    "B-\u4eba\u540d": 22,
    "B-\u5730\u540d": 14,
    "B-\u653f\u6cbb\u7684\u7d44\u7e54\u540d": 10,
    "B-\u65bd\u8a2d\u540d": 16,
    "B-\u6cd5\u4eba\u540d": 2,
    "B-\u88fd\u54c1\u540d": 18,
    "I-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d": 24,
    "I-\u30a4\u30d9\u30f3\u30c8\u540d": 11,
    "I-\u4eba\u540d": 8,
    "I-\u5730\u540d": 0,
    "I-\u653f\u6cbb\u7684\u7d44\u7e54\u540d": 29,
    "I-\u65bd\u8a2d\u540d": 7,
    "I-\u6cd5\u4eba\u540d": 31,
    "I-\u88fd\u54c1\u540d": 17,
    "L-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d": 20,
    "L-\u30a4\u30d9\u30f3\u30c8\u540d": 6,
    "L-\u4eba\u540d": 3,
    "L-\u5730\u540d": 15,
    "L-\u653f\u6cbb\u7684\u7d44\u7e54\u540d": 32,
    "L-\u65bd\u8a2d\u540d": 13,
    "L-\u6cd5\u4eba\u540d": 30,
    "L-\u88fd\u54c1\u540d": 19,
    "O": 9,
    "U-\u305d\u306e\u4ed6\u306e\u7d44\u7e54\u540d": 23,
    "U-\u30a4\u30d9\u30f3\u30c8\u540d": 4,
    "U-\u4eba\u540d": 5,
    "U-\u5730\u540d": 28,
    "U-\u653f\u6cbb\u7684\u7d44\u7e54\u540d": 21,
    "U-\u65bd\u8a2d\u540d": 12,
    "U-\u6cd5\u4eba\u540d": 1,
    "U-\u88fd\u54c1\u540d": 25
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.12.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32006
}