[FEATURE] Can we have an example of transfering ModelCenter weights into HF weights?
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- Dominant language
- Python
- Stars
- 270
- Forks
- 32
- PR merge metrics
- No merged PRs in 30d
Description
Is your feature request related to a problem? Please describe.
I am trying to do inference using the RandomSampling and it does not work, i want to use hf api
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
Start by reviewing the RandomSampling context and the Hugging Face API reference in the issue. Locate the ModelCenter weight format and any existing conversion or inference entry points, then determine what example is needed. Done means a reproducible example transfers ModelCenter weights to Hugging Face weights and supports the intended inference flow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100