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avichr
/
heBERT_NER

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
heBERT_NER
File size: 838 Bytes 
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{
  "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_TIME",
    "1": "B_PERS",
    "2": "B_MONEY",
    "3": "B_ORG",
    "4": "B_PERCENT",
    "5": "O",
    "6": "B_LOC",
    "7": "B_DATE"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B_DATE": 7,
    "B_LOC": 6,
    "B_MONEY": 2,
    "B_ORG": 3,
    "B_PERCENT": 4,
    "B_PERS": 1,
    "B_TIME": 0,
    "O": 5
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "total_flos": 6997313242916978688,
  "type_vocab_size": 2,
  "vocab_size": 30522
}