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kocharelectra-base-modu-ner-sx

Token Classification Transformers PyTorch electra Inference Endpoints
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kocharelectra-base-modu-ner-sx
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{
  "_name_or_path": "monologg/kocharelectra-base-discriminator",
  "architectures": [
    "ElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PS",
    "10": "I-DT",
    "11": "B-TI",
    "12": "I-TI",
    "13": "B-CV",
    "14": "I-CV",
    "15": "B-AM",
    "16": "I-AM",
    "17": "B-PT",
    "18": "I-PT",
    "19": "B-QT",
    "2": "I-PS",
    "20": "I-QT",
    "21": "B-FD",
    "22": "I-FD",
    "23": "B-TR",
    "24": "I-TR",
    "25": "B-EV",
    "26": "I-EV",
    "27": "B-MT",
    "28": "I-MT",
    "29": "B-TM",
    "3": "B-LC",
    "30": "I-TM",
    "4": "I-LC",
    "5": "B-OG",
    "6": "I-OG",
    "7": "B-AF",
    "8": "I-AF",
    "9": "B-DT"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AF": 7,
    "B-AM": 15,
    "B-CV": 13,
    "B-DT": 9,
    "B-EV": 25,
    "B-FD": 21,
    "B-LC": 3,
    "B-MT": 27,
    "B-OG": 5,
    "B-PS": 1,
    "B-PT": 17,
    "B-QT": 19,
    "B-TI": 11,
    "B-TM": 29,
    "B-TR": 23,
    "I-AF": 8,
    "I-AM": 16,
    "I-CV": 14,
    "I-DT": 10,
    "I-EV": 26,
    "I-FD": 22,
    "I-LC": 4,
    "I-MT": 28,
    "I-OG": 6,
    "I-PS": 2,
    "I-PT": 18,
    "I-QT": 20,
    "I-TI": 12,
    "I-TM": 30,
    "I-TR": 24,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "type_vocab_size": 2,
  "vocab_size": 11568
}