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shopping-category-ner

Token Classification
Transformers
PyTorch
electra
Inference Endpoints
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shopping-category-ner
File size: 1,934 Bytes 
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{
  "_name_or_path": "Leo97/KoELECTRA-small-v3-modu-ner",
  "architectures": [
    "ElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 128,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "O",
    "1": "B-PS",
    "10": "I-OG",
    "11": "B-LC",
    "12": "I-LC",
    "13": "B-CV",
    "14": "I-CV",
    "15": "B-DT",
    "16": "I-DT",
    "17": "B-TI",
    "18": "I-TI",
    "19": "B-QT",
    "2": "I-PS",
    "20": "I-QT",
    "21": "B-EV",
    "22": "I-EV",
    "23": "B-AM",
    "24": "I-AM",
    "25": "B-PT",
    "26": "I-PT",
    "27": "B-MT",
    "28": "I-MT",
    "29": "B-TM",
    "3": "B-FD",
    "30": "I-TM",
    "4": "I-FD",
    "5": "B-TR",
    "6": "I-TR",
    "7": "B-AF",
    "8": "I-AF",
    "9": "B-OG"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "B-AF": "7",
    "B-AM": "23",
    "B-CV": "13",
    "B-DT": "15",
    "B-EV": "21",
    "B-FD": "3",
    "B-LC": "11",
    "B-MT": "27",
    "B-OG": "9",
    "B-PS": "1",
    "B-PT": "25",
    "B-QT": "19",
    "B-TI": "17",
    "B-TM": "29",
    "B-TR": "5",
    "I-AF": "8",
    "I-AM": "24",
    "I-CV": "14",
    "I-DT": "16",
    "I-EV": "22",
    "I-FD": "4",
    "I-LC": "12",
    "I-MT": "28",
    "I-OG": "10",
    "I-PS": "2",
    "I-PT": "26",
    "I-QT": "20",
    "I-TI": "18",
    "I-TM": "30",
    "I-TR": "6",
    "O": "0"
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 4,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "torch_dtype": "float32",
  "transformers_version": "4.33.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 35000
}