upload model files

README.md

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 ---
+language:
+  - zh
+thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
+tags:
+  - pytorch
+  - token-classification
+  - bert
+  - zh
 license: gpl-3.0
 ---
+
+# CKIP Oldhan BERT Base Chinese WS
+
+This model provides word segmentation for the oldhan 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?ukey=-406192123&qtype=-1)
+* [中央研究院中古漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh?ukey=852967425&qtype=-1)
+* [中央研究院近代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh?ukey=-299696128&qtype=-1)
+* [中央研究院現代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/mkiwi/kiwi.sh)
+
+## Contributors
+* Chin-Tung Lin at [CKIP](https://ckip.iis.sinica.edu.tw/)
+
+## Usage
+
+* Using our model in your script
+    ```python
+    from transformers import (
+      AutoTokenizer,
+      AutoModel,
+    )
+
+    tokenizer = AutoTokenizer.from_pretrained("ckiplab/oldhan-bert-base-chinese-ws")
+    model = AutoModel.from_pretrained("ckiplab/oldhan-bert-base-chinese-ws")
+    ```
+
+* Using our model for inference
+    ```python
+    >>> from transformers import pipeline
+    >>> classifier = pipeline("token-classification", model="ckiplab/oldhan-bert-base-chinese-ws")
+    >>> classifier("帝堯曰放勳")
+
+    ```

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": {
+    "B": 0,
+    "I": 1
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "id2label": {
+    "0": "B",
+    "1": "I"
+  },
+  "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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+size 422162983

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}