vllm-project / vllm-project/production-stack
Why Hugging Face Token?
Open
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question
- Dominant language
- Python
- Stars
- 2.6k
- Forks
- 503
- Avg merge
- 4d 17h
- Merged PRs (30d)
- 8
Description
I see that we need hugging face token to download the model
- Is this the only way models can be used?
- Is there a way to use an AWS S3 folder location?
- What is the process for fine-tuned models?
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
No file, test, or entry point is named; begin by locating the documentation covering Hugging Face tokens and model downloads. Check whether it explains AWS S3 locations and fine-tuned models, and consider the issue done when those three questions have documented answers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, huggingface
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100