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README.md

@@ -1,3 +1,28 @@
 ---
+language:
+  - zh
+thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
+tags:
+  - pytorch
+  - token-classification
+  - bert
+  - zh
 license: gpl-3.0
 ---
+
+# CKIP BERT Base Han Chinese POS
+
+This model provides part-of-speech (POS) tagging for the ancient Chinese language. Our training dataset covers four eras of the Chinese language.
+
+## Homepage
+* [ckiplab/han-transformers](https://github.com/ckiplab/han-transformers)
+
+## Training Datasets
+The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica.
+* [中央研究院上古漢語標記語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/akiwi/kiwi.sh)
+* [中央研究院中古漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh)
+* [中央研究院近代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh)
+* [中央研究院現代漢語語料庫](http://asbc.iis.sinica.edu.tw)
+
+## Contributors
+* Chin-Tung Lin at [CKIP](https://ckip.iis.sinica.edu.tw/)

config.json

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+{
+  "_name_or_path": "hub/ckiplab/bert-base-chinese-20210817-001848",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "finetuning_task": "ner",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "label2id": {
+    "571": 53,
+    "A": 41,
+    "C": 86,
+    "COLONCATEGORY": 49,
+    "COMMACATEGORY": 32,
+    "Caa": 34,
+    "Cbb": 20,
+    "D": 74,
+    "DASHCATEGORY": 56,
+    "DAb": 92,
+    "DC": 97,
+    "DE": 29,
+    "DFa": 80,
+    "DH": 88,
+    "DJ": 91,
+    "Da": 89,
+    "Daa": 40,
+    "Dab": 28,
+    "Db": 95,
+    "Dba": 45,
+    "Dbb": 43,
+    "Dc": 12,
+    "Dd": 19,
+    "Df": 94,
+    "Dfa": 37,
+    "Dfb": 59,
+    "Dg": 61,
+    "Dh": 27,
+    "Di": 81,
+    "Dj": 39,
+    "Dk": 52,
+    "Dl": 18,
+    "EXCLAMATIONCATEGORY": 50,
+    "EXCLANATIONCATEGORY": 79,
+    "FW": 64,
+    "I": 57,
+    "N": 78,
+    "NA": 93,
+    "NB": 77,
+    "ND": 76,
+    "NH": 70,
+    "Na": 0,
+    "Nb": 9,
+    "Nc": 7,
+    "Nd": 11,
+    "Ne": 85,
+    "Neqa": 31,
+    "Nes": 25,
+    "Neu": 8,
+    "Nf": 33,
+    "Ng": 22,
+    "Nh": 4,
+    "P": 10,
+    "PARENTHES7ISCATEGORY": 90,
+    "PARENTHESISCATEGORY": 51,
+    "PAUSECATEGORY": 58,
+    "PERIODCATEGORY": 1,
+    "Q": 62,
+    "QUESTIONCATEGORY": 48,
+    "R": 47,
+    "SEMICOLONCATEGORY": 55,
+    "SHI": 38,
+    "T": 26,
+    "T3": 82,
+    "T4": 66,
+    "T5": 46,
+    "T6": 42,
+    "T7": 54,
+    "T8": 15,
+    "U": 60,
+    "V": 72,
+    "VA": 23,
+    "VAC": 30,
+    "VB": 63,
+    "VC": 3,
+    "VCL": 13,
+    "VD": 35,
+    "VE": 5,
+    "VF": 36,
+    "VG": 21,
+    "VH": 2,
+    "VHC": 14,
+    "VI": 87,
+    "VJ": 16,
+    "VK": 6,
+    "VL": 17,
+    "V_2": 24,
+    "Vc": 65,
+    "Ve": 71,
+    "Vf": 84,
+    "Vg": 67,
+    "V\uff3f\uff12": 69,
+    "b": 44,
+    "na": 75,
+    "nc": 83,
+    "neu": 96,
+    "r": 73,
+    "\u7b26\uff0c\u5c1a\u7121\u8cc7\u6599": 68
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "id2label": {
+    "0": "Na",
+    "1": "PERIODCATEGORY",
+    "2": "VH",
+    "3": "VC",
+    "4": "Nh",
+    "5": "VE",
+    "6": "VK",
+    "7": "Nc",
+    "8": "Neu",
+    "9": "Nb",
+    "10": "P",
+    "11": "Nd",
+    "12": "Dc",
+    "13": "VCL",
+    "14": "VHC",
+    "15": "T8",
+    "16": "VJ",
+    "17": "VL",
+    "18": "Dl",
+    "19": "Dd",
+    "20": "Cbb",
+    "21": "VG",
+    "22": "Ng",
+    "23": "VA",
+    "24": "V_2",
+    "25": "Nes",
+    "26": "T",
+    "27": "Dh",
+    "28": "Dab",
+    "29": "DE",
+    "30": "VAC",
+    "31": "Neqa",
+    "32": "COMMACATEGORY",
+    "33": "Nf",
+    "34": "Caa",
+    "35": "VD",
+    "36": "VF",
+    "37": "Dfa",
+    "38": "SHI",
+    "39": "Dj",
+    "40": "Daa",
+    "41": "A",
+    "42": "T6",
+    "43": "Dbb",
+    "44": "b",
+    "45": "Dba",
+    "46": "T5",
+    "47": "R",
+    "48": "QUESTIONCATEGORY",
+    "49": "COLONCATEGORY",
+    "50": "EXCLAMATIONCATEGORY",
+    "51": "PARENTHESISCATEGORY",
+    "52": "Dk",
+    "53": "571",
+    "54": "T7",
+    "55": "SEMICOLONCATEGORY",
+    "56": "DASHCATEGORY",
+    "57": "I",
+    "58": "PAUSECATEGORY",
+    "59": "Dfb",
+    "60": "U",
+    "61": "Dg",
+    "62": "Q",
+    "63": "VB",
+    "64": "FW",
+    "65": "Vc",
+    "66": "T4",
+    "67": "Vg",
+    "68": "\u7b26\uff0c\u5c1a\u7121\u8cc7\u6599",
+    "69": "V\uff3f\uff12",
+    "70": "NH",
+    "71": "Ve",
+    "72": "V",
+    "73": "r",
+    "74": "D",
+    "75": "na",
+    "76": "ND",
+    "77": "NB",
+    "78": "N",
+    "79": "EXCLANATIONCATEGORY",
+    "80": "DFa",
+    "81": "Di",
+    "82": "T3",
+    "83": "nc",
+    "84": "Vf",
+    "85": "Ne",
+    "86": "C",
+    "87": "VI",
+    "88": "DH",
+    "89": "Da",
+    "90": "PARENTHES7ISCATEGORY",
+    "91": "DJ",
+    "92": "DAb",
+    "93": "NA",
+    "94": "Df",
+    "95": "Db",
+    "96": "neu",
+    "97": "DC"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "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",
+  "tokenizer_class": "BertTokenizerFast",
+  "transformers_version": "4.7.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 26140
+}

pytorch_model.bin

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "hub/ckiplab/bert-base-chinese-20210817-001848", "special_tokens_map_file": "/home/cindy666/.cache/huggingface/transformers/d8a1a1b7a3de221ae53bf9d55154b9df9c4cda18409b393ee0fda4bce4ca7818.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "do_basic_tokenize": true, "never_split": null}