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bert-base-NER-uncased

Token Classification Transformers PyTorch TensorFlow JAX Safetensors bert Inference Endpoints
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bert-base-NER-uncased
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "do_sample": false,
  "eos_token_ids": null,
  "finetuning_task": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-MISC",
    "2": "I-MISC",
    "3": "B-PER",
    "4": "I-PER",
    "5": "B-ORG",
    "6": "I-ORG",
    "7": "B-LOC",
    "8": "I-LOC"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "label2id": {
    "B-LOC": 7,
    "B-MISC": 1,
    "B-ORG": 5,
    "B-PER": 3,
    "I-LOC": 8,
    "I-MISC": 2,
    "I-ORG": 6,
    "I-PER": 4,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_beams": 1,
  "num_hidden_layers": 12,
  "num_labels": 9,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_past": true,
  "pad_token_id": 0,
  "pruned_heads": {},
  "repetition_penalty": 1.0,
  "temperature": 1.0,
  "top_k": 50,
  "top_p": 1.0,
  "torchscript": false,
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "vocab_size": 30522
}