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ckiplab
/
albert-tiny-chinese-pos

Token Classification
Transformers
PyTorch
Chinese
albert
Inference Endpoints
Model card Files Community
1
albert-tiny-chinese-pos
File size: 2,842 Bytes 
1727d9e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "architectures": [
    "AlbertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
  "down_scale_factor": 1,
  "embedding_size": 128,
  "eos_token_id": 3,
  "gap_size": 0,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 312,
  "id2label": {
    "0": "A",
    "1": "Caa",
    "2": "Cab",
    "3": "Cba",
    "4": "Cbb",
    "5": "D",
    "6": "Da",
    "7": "Dfa",
    "8": "Dfb",
    "9": "Di",
    "10": "Dk",
    "11": "DM",
    "12": "I",
    "13": "Na",
    "14": "Nb",
    "15": "Nc",
    "16": "Ncd",
    "17": "Nd",
    "18": "Nep",
    "19": "Neqa",
    "20": "Neqb",
    "21": "Nes",
    "22": "Neu",
    "23": "Nf",
    "24": "Ng",
    "25": "Nh",
    "26": "Nv",
    "27": "P",
    "28": "T",
    "29": "VA",
    "30": "VAC",
    "31": "VB",
    "32": "VC",
    "33": "VCL",
    "34": "VD",
    "35": "VF",
    "36": "VE",
    "37": "VG",
    "38": "VH",
    "39": "VHC",
    "40": "VI",
    "41": "VJ",
    "42": "VK",
    "43": "VL",
    "44": "V_2",
    "45": "DE",
    "46": "SHI",
    "47": "FW",
    "48": "COLONCATEGORY",
    "49": "COMMACATEGORY",
    "50": "DASHCATEGORY",
    "51": "DOTCATEGORY",
    "52": "ETCCATEGORY",
    "53": "EXCLAMATIONCATEGORY",
    "54": "PARENTHESISCATEGORY",
    "55": "PAUSECATEGORY",
    "56": "PERIODCATEGORY",
    "57": "QUESTIONCATEGORY",
    "58": "SEMICOLONCATEGORY",
    "59": "SPCHANGECATEGORY"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 1248,
  "label2id": {
    "A": 0,
    "COLONCATEGORY": 48,
    "COMMACATEGORY": 49,
    "Caa": 1,
    "Cab": 2,
    "Cba": 3,
    "Cbb": 4,
    "D": 5,
    "DASHCATEGORY": 50,
    "DE": 45,
    "DM": 11,
    "DOTCATEGORY": 51,
    "Da": 6,
    "Dfa": 7,
    "Dfb": 8,
    "Di": 9,
    "Dk": 10,
    "ETCCATEGORY": 52,
    "EXCLAMATIONCATEGORY": 53,
    "FW": 47,
    "I": 12,
    "Na": 13,
    "Nb": 14,
    "Nc": 15,
    "Ncd": 16,
    "Nd": 17,
    "Nep": 18,
    "Neqa": 19,
    "Neqb": 20,
    "Nes": 21,
    "Neu": 22,
    "Nf": 23,
    "Ng": 24,
    "Nh": 25,
    "Nv": 26,
    "P": 27,
    "PARENTHESISCATEGORY": 54,
    "PAUSECATEGORY": 55,
    "PERIODCATEGORY": 56,
    "QUESTIONCATEGORY": 57,
    "SEMICOLONCATEGORY": 58,
    "SHI": 46,
    "SPCHANGECATEGORY": 59,
    "T": 28,
    "VA": 29,
    "VAC": 30,
    "VB": 31,
    "VC": 32,
    "VCL": 33,
    "VD": 34,
    "VE": 36,
    "VF": 35,
    "VG": 37,
    "VH": 38,
    "VHC": 39,
    "VI": 40,
    "VJ": 41,
    "VK": 42,
    "VL": 43,
    "V_2": 44
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 4,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "type_vocab_size": 2,
  "vocab_size": 21128
}