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transformers
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文档增加tokenizer类别及样例建议
欢迎您反馈PaddleNLP使用问题,非常感谢您对PaddleNLP的贡献!
在留下您的问题时,辛苦您同步提供如下信息:
- 版本、环境信息
1)PaddleNLP和PaddlePaddle版本:请提供您的PaddleNLP和PaddlePaddle版本号,例如PaddleNLP 2.0.4,PaddlePaddle2.1.1
2)系统环境:请您描述系统类型,例如Linux/Windows/MacOS/,python版本 - 复现信息:如为报错,请给出复现环境、复现步骤
paddle版本2.0.8 paddlenlp版本2.1.0
建议,能否在paddlenlp文档中,整理列出各个模型的tokenizer是基于什么类别的based,如bert tokenizer是word piece的,xlnet tokenizer是sentence piece的,以及对应的输入输出样例
关于一些具体建议
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Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.
Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.
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Hey! Thanks for the work on this.
Wondering how we can use this with mocha? tsconfig-paths has its own tsconfig-paths/register to make this work
https://github.com/dividab/tsconfig-paths#with-mocha-and-ts-node
Basically with mocha we have to run mocha -r ts-node/register -- but that wouldnt have the compiler flag.
Would be worthwhile to have the ability to do it which looks like
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_handle_duplicate_documentsand_drop_duplicate_documentsin the elastic search document store will always reportself.indexas the index with the conflict, which is obviously incorrect.Edit: Upon further investigation, this is actually a lot worse. Using multiple indices with the ElasticSearch DocumentStore is completely broken due to the fact, that this is used in `_handle_duplicate_do