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bert-fa-zwnj-base-ner

Token Classification
Transformers
PyTorch
TensorFlow
JAX
Persian
bert
Inference Endpoints
Model card Files Community
1
bert-fa-zwnj-base-ner
File size: 1,377 Bytes 
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-DAT",
    "2": "B-EVE",
    "3": "B-FAC",
    "4": "B-LOC",
    "5": "B-MON",
    "6": "B-ORG",
    "7": "B-PCT",
    "8": "B-PER",
    "9": "B-PRO",
    "10": "B-TIM",
    "11": "I-DAT",
    "12": "I-EVE",
    "13": "I-FAC",
    "14": "I-LOC",
    "15": "I-MON",
    "16": "I-ORG",
    "17": "I-PCT",
    "18": "I-PER",
    "19": "I-PRO",
    "20": "I-TIM"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DAT": 1,
    "B-EVE": 2,
    "B-FAC": 3,
    "B-LOC": 4,
    "B-MON": 5,
    "B-ORG": 6,
    "B-PCT": 7,
    "B-PER": 8,
    "B-PRO": 9,
    "B-TIM": 10,
    "I-DAT": 11,
    "I-EVE": 12,
    "I-FAC": 13,
    "I-LOC": 14,
    "I-MON": 15,
    "I-ORG": 16,
    "I-PCT": 17,
    "I-PER": 18,
    "I-PRO": 19,
    "I-TIM": 20,
    "O": 0
  },
  "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": "4.5.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 42000
}