ml-explore / ml-explore/mlx-examples
Can you support TRL?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
- No merged PRs in 30d
Description
TRL is a Transformer Reinforcement Learning library。
For example: https://huggingface.co/docs/trl/main/en/index
Contributor guide
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
The issue does not name any repository files, tests, or entry points. Start by reading the linked TRL documentation and comparing its scope with the MLX examples repository; the work is complete only when a concrete, agreed set of TRL support requirements and corresponding examples is defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100