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google-bert-finetuned

Token Classification
Transformers
Safetensors
bert
Inference Endpoints
Model card Files Community
google-bert-finetuned
File size: 2,071 Bytes 
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{
  "_name_or_path": "google-bert/bert-base-multilingual-cased",
  "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": "AGE",
    "2": "AWARD",
    "3": "CITY",
    "4": "COUNTRY",
    "5": "CRIME",
    "6": "DATE",
    "7": "DISEASE",
    "8": "DISTRICT",
    "9": "EVENT",
    "10": "FACILITY",
    "11": "FAMILY",
    "12": "IDEOLOGY",
    "13": "LANGUAGE",
    "14": "LAW",
    "15": "LOCATION",
    "16": "MONEY",
    "17": "NATIONALITY",
    "18": "NUMBER",
    "19": "ORDINAL",
    "20": "ORGANIZATION",
    "21": "PENALTY",
    "22": "PERCENT",
    "23": "PERSON",
    "24": "PRODUCT",
    "25": "PROFESSION",
    "26": "RELIGION",
    "27": "STATE_OR_PROVINCE",
    "28": "TIME",
    "29": "WORK_OF_ART"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "AGE": 1,
    "AWARD": 2,
    "CITY": 3,
    "COUNTRY": 4,
    "CRIME": 5,
    "DATE": 6,
    "DISEASE": 7,
    "DISTRICT": 8,
    "EVENT": 9,
    "FACILITY": 10,
    "FAMILY": 11,
    "IDEOLOGY": 12,
    "LANGUAGE": 13,
    "LAW": 14,
    "LOCATION": 15,
    "MONEY": 16,
    "NATIONALITY": 17,
    "NUMBER": 18,
    "O": 0,
    "ORDINAL": 19,
    "ORGANIZATION": 20,
    "PENALTY": 21,
    "PERCENT": 22,
    "PERSON": 23,
    "PRODUCT": 24,
    "PROFESSION": 25,
    "RELIGION": 26,
    "STATE_OR_PROVINCE": 27,
    "TIME": 28,
    "WORK_OF_ART": 29
  },
  "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": "4.39.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}