Upload model files.
Browse files- README.md +45 -0
- config.json +34 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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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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- lm-head
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- gpt2
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- zh
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license: gpl-3.0
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---
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# CKIP GPT2 Tiny Chinese
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This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-of-speech tagging, named entity recognition).
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這個專案提供了繁體中文的 transformers 模型(包含 ALBERT、BERT、GPT2)及自然語言處理工具(包含斷詞、詞性標記、實體辨識)。
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## Homepage
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- https://github.com/ckiplab/ckip-transformers
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## Contributers
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- [Mu Yang](https://muyang.pro) at [CKIP](https://ckip.iis.sinica.edu.tw) (Author & Maintainer)
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## Usage
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Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
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請使用 BertTokenizerFast 而非 AutoTokenizer。
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```
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from transformers import (
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BertTokenizerFast,
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AutoModel,
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)
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tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
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model = AutoModel.from_pretrained('ckiplab/gpt2-tiny-chinese')
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```
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For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.
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有關完整使用方法及其他資訊,請參見 https://github.com/ckiplab/ckip-transformers 。
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config.json
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{
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 101,
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"embd_pdrop": 0.1,
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"eos_token_id": 102,
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"gradient_checkpointing": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 312,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 4,
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"n_positions": 1024,
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"resid_pdrop": 0.1,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"tokenizer_class": "BertTokenizerFast",
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"vocab_size": 21128
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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:ef4109d34df76aabd608c5137a7fdba2a61065728aff9bf5093bc5a027d4eaff
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size 50619595
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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_config.json
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{"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "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": "bert-base-chinese"}
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vocab.txt
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