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peyma-ner-bert-base

Token Classification Transformers TensorFlow bert Inference Endpoints
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peyma-ner-bert-base
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{
  "_name_or_path": "HooshvareLab/bert-base-parsbert-uncased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B_DAT",
    "1": "B_LOC",
    "2": "B_MON",
    "3": "B_ORG",
    "4": "B_PCT",
    "5": "B_PER",
    "6": "B_TIM",
    "7": "I_DAT",
    "8": "I_LOC",
    "9": "I_MON",
    "10": "I_ORG",
    "11": "I_PCT",
    "12": "I_PER",
    "13": "I_TIM",
    "14": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B_DAT": 0,
    "B_LOC": 1,
    "B_MON": 2,
    "B_ORG": 3,
    "B_PCT": 4,
    "B_PER": 5,
    "B_TIM": 6,
    "I_DAT": 7,
    "I_LOC": 8,
    "I_MON": 9,
    "I_ORG": 10,
    "I_PCT": 11,
    "I_PER": 12,
    "I_TIM": 13,
    "O": 14
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.6.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 100000
}