Translate to Traditional Chinese (zh-TW)
See original GitHub issueHi there 👋
Let’s translate the course to Traditional Chinese so that the whole community can benefit from this resource 🌎!
Below are the chapters and files that need translating - let us know here if you’d like to translate any and we’ll add your name to the list. Once you’re finished, open a pull request and tag this issue by including #issue-number
in the description, where issue-number
is the number of this issue.
🙋 If you’d like others to help you with the translation, you can also post in our forums or tag @_lewtun on Twitter to gain some visibility.
Chapters
0 - Setup
1 - Transformer models
2 - Using 🤗 Transformers
3 - Fine-tuning a pretrained model
4 - Sharing models and tokenizers
5 - The 🤗 Datasets library
6 - The 🤗 Tokenizers library
7 - Main NLP tasks
8 - How to ask for help
Events
Issue Analytics
- State:
- Created a year ago
- Reactions:1
- Comments:20 (15 by maintainers)
Top GitHub Comments
This is a great question @oToToT! You’re more than welcome to have different pages for traditional and simplified Chinese - the only thing to note is that you’ll need to have separate folders for the content (e.g.
zh-CN
andzh-TW
).If you wish to add simplified Chinese, I suggest opening a new issue with something like “Translate to Simplified Chinese” to distinguish it from this issue & make it easier to see which sections have already been translated.
OK everyone, I’ve created a new issue for those who wish to continue work on the Simplified Chinese translation: https://github.com/huggingface/course/issues/118
Let’s keep the current issue for Traditional Chinese as @davidpeng86 mentioned - this means we can close https://github.com/huggingface/course/issues/117 right @snorlaxchoi ?
Also @1375626371 @zhlhyx @petrichor1122 - I plan to rename the folder structure to be
zh-CN
for your contributions in Chapter 1.Hope this isn’t too confusing!