Add Support to stella-en-400M-v5
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- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 248
- Avg merge
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- Merged PRs (30d)
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Description
Reqest to support for Embedding Model for Efficient Vector Search
Add Support to https://huggingface.co/dunzhang/stella_en_400M_v5
What Python version are you on? e.g. python --version
3.10
Version
0.2.7 (Latest)
What os are you seeing the problem on?
Windows
Relevant stack traces and/or logs
No response
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 fastembed's existing embedding-model integration and the Hugging Face page for dunzhang/stella_en_400M_v5. Identify the model-specific support points and any relevant validation or test commands in the repository. Done means the model can be selected and used for embedding generation and efficient vector search on the reported Python and Windows setup.
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
- Mostly clear
- Newbie friendliness
- 35/100