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roberta-large-NER

Token Classification
Transformers
PyTorch
roberta
Inference Endpoints
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roberta-large-NER
File size: 1,250 Bytes 
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{
  "_name_or_path": "klue/roberta-large",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "finetuning_task": "naver-ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "UNK",
    "1": "O",
    "10": "EVT-B",
    "11": "EVT-I",
    "12": "TRM-B",
    "13": "TRM-I",
    "2": "FLD-B",
    "3": "FLD-I",
    "4": "AFW-B",
    "5": "AFW-I",
    "6": "ORG-B",
    "7": "ORG-I",
    "8": "CVL-B",
    "9": "CVL-I"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "AFW-B": 4,
    "AFW-I": 5,
    "CVL-B": 8,
    "CVL-I": 9,
    "EVT-B": 10,
    "EVT-I": 11,
    "FLD-B": 2,
    "FLD-I": 3,
    "O": 1,
    "ORG-B": 6,
    "ORG-I": 7,
    "TRM-B": 12,
    "TRM-I": 13,
    "UNK": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tokenizer_class": "BertTokenizer",
  "transformers_version": "4.2.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32000
}