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KoichiYasuoka
/
chinese-roberta-base-upos

Token Classification
Transformers
PyTorch
Chinese
bert
chinese
pos
wikipedia
dependency-parsing
Inference Endpoints
Model card Files Community
2
chinese-roberta-base-upos
File size: 2,566 Bytes 
56b9b51
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "hfl/chinese-roberta-wwm-ext",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "directionality": "bidi",
  "eos_token_id": 2,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ADJ",
    "1": "ADP",
    "2": "ADV",
    "3": "AUX",
    "4": "B-ADJ",
    "5": "B-ADP",
    "6": "B-ADV",
    "7": "B-AUX",
    "8": "B-CCONJ",
    "9": "B-DET",
    "10": "B-NOUN",
    "11": "B-NUM",
    "12": "B-PART",
    "13": "B-PRON",
    "14": "B-PROPN",
    "15": "B-PUNCT",
    "16": "B-SYM",
    "17": "B-VERB",
    "18": "B-X",
    "19": "CCONJ",
    "20": "DET",
    "21": "I-ADJ",
    "22": "I-ADP",
    "23": "I-ADV",
    "24": "I-AUX",
    "25": "I-CCONJ",
    "26": "I-DET",
    "27": "I-NOUN",
    "28": "I-NUM",
    "29": "I-PART",
    "30": "I-PRON",
    "31": "I-PROPN",
    "32": "I-PUNCT",
    "33": "I-SYM",
    "34": "I-VERB",
    "35": "I-X",
    "36": "NOUN",
    "37": "NUM",
    "38": "PART",
    "39": "PRON",
    "40": "PROPN",
    "41": "PUNCT",
    "42": "SYM",
    "43": "VERB",
    "44": "X"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ADJ": 0,
    "ADP": 1,
    "ADV": 2,
    "AUX": 3,
    "B-ADJ": 4,
    "B-ADP": 5,
    "B-ADV": 6,
    "B-AUX": 7,
    "B-CCONJ": 8,
    "B-DET": 9,
    "B-NOUN": 10,
    "B-NUM": 11,
    "B-PART": 12,
    "B-PRON": 13,
    "B-PROPN": 14,
    "B-PUNCT": 15,
    "B-SYM": 16,
    "B-VERB": 17,
    "B-X": 18,
    "CCONJ": 19,
    "DET": 20,
    "I-ADJ": 21,
    "I-ADP": 22,
    "I-ADV": 23,
    "I-AUX": 24,
    "I-CCONJ": 25,
    "I-DET": 26,
    "I-NOUN": 27,
    "I-NUM": 28,
    "I-PART": 29,
    "I-PRON": 30,
    "I-PROPN": 31,
    "I-PUNCT": 32,
    "I-SYM": 33,
    "I-VERB": 34,
    "I-X": 35,
    "NOUN": 36,
    "NUM": 37,
    "PART": 38,
    "PRON": 39,
    "PROPN": 40,
    "PUNCT": 41,
    "SYM": 42,
    "VERB": 43,
    "X": 44
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}