Can this library use Qwen3's Embedding model?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- csharp, huggingface
- Domain
- machine-learning
Research direction
No files or tests are named. Start by locating the library's existing embedding or text-vector integration, then compare its model usage with the linked Qwen3-Embedding-0.6B vLLM example. Done means the library can use this model to compute text vectors, with coverage for the supported usage.
Written by the indexing model from the issue text.
Description
Can this library use Qwen3's Embedding model?
like this:https://huggingface.co/Qwen/Qwen3-Embedding-0.6B#vllm-usage
compute text vector!
- Dominant language
- C#
- Stars
- 509
- Forks
- 61
- PR merge metrics
- No merged PRs in 30d
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.
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