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OllieStanley
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bert-base-ner-nc1

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
bert-base-ner-nc1
File size: 2,316 Bytes 
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{
  "_name_or_path": "dslim/bert-base-NER",
  "_num_labels": 9,
  "architectures": [
    "BertForTokenClassification"
  ],
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  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-ORDINAL.",
    "2": "B-GPE",
    "3": "B-FAC",
    "4": "B- CARDINAL",
    "5": "B-ORG",
    "6": "B-NORP",
    "7": "B-QUANTITY",
    "8": "B-LAW",
    "9": "B-EVENT",
    "10": "B-LANGUAGE",
    "11": "B-PERCENT",
    "12": "B-CARDINAL",
    "13": "B-DATE",
    "14": "B-TIME",
    "15": "B-WORK_OF_ART",
    "16": "B-MONEY",
    "17": "B-PERSON",
    "18": "B-ORDINAL",
    "19": "B-LOC",
    "20": "I-ORDINAL.",
    "21": "I-GPE",
    "22": "I-FAC",
    "23": "I- CARDINAL",
    "24": "I-ORG",
    "25": "I-NORP",
    "26": "I-QUANTITY",
    "27": "I-LAW",
    "28": "I-EVENT",
    "29": "I-LANGUAGE",
    "30": "I-PERCENT",
    "31": "I-CARDINAL",
    "32": "I-DATE",
    "33": "I-TIME",
    "34": "I-WORK_OF_ART",
    "35": "I-MONEY",
    "36": "I-PERSON",
    "37": "I-ORDINAL",
    "38": "I-LOC"
  },
  "initializer_range": 0.02,
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  "label2id": {
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  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}