How to train a custom tokenizer for Chinese from scratch
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 12.3k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
Hi, wonderful work!
May I know how to train a custom tokenizer for Chinese from scratch? Is there any public reference or code can share?
Thanks for your help very much!
best,
Fangkai
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are mentioned. Start by locating the project's tokenizer-training guidance or implementation, then determine how custom Chinese tokenizers are trained from scratch. Done means providing a clear public reference or code example that answers the request.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100