upload model files
Browse files- README.md +15 -0
- config.json +40 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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---
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license: gpl-3.0
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---
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---
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language:
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- zh
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thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
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tags:
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- pytorch
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- token-classification
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- bert
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- zh
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license: gpl-3.0
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---
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# CKIP BERT Base Han Chinese WS
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This model provides word segmentation for the ancient Chinese language. Our training dataset covers four eras of the Chinese language.
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## Homepage
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* [ckiplab/han-transformers](https://github.com/ckiplab/han-transformers)
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config.json
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{
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"_name_or_path": "hub/ckiplab/bert-base-chinese-20210817-001848",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"finetuning_task": "ner",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"label2id": {
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"B": 0,
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"I": 1
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"id2label": {
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"0": "B",
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"1": "I"
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"tokenizer_class": "BertTokenizerFast",
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"transformers_version": "4.7.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 26140
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b07cdf1c61367eb893d3299d600ecad6fa1fd5559e3145260c5214d0b6c396d7
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size 422194673
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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]"}
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tokenizer.json
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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}
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vocab.txt
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