Comments (6)
what can be done to convert existing models to be supported by fastembed? would like to do this on my own if possible.
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More demand on large-en-v1.5 here
https://discord.com/channels/907569970500743200/1183464297360281690
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Yes, that's the one. Pushing to docs soon
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Work in Progress: https://huggingface.co/Qdrant/bge-large-en-v1.5-onnx-Q
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what can be done to convert existing models to be supported by fastembed? would like to do this on my own if possible.
@NirantK could you share your workflow if possible? E.g. transformers.js provides onnx conversion scripts too: https://github.com/xenova/transformers.js?tab=readme-ov-file#convert-your-models-to-onnx
Update: I guess this is it https://github.com/qdrant/fastembed/pull/90/files
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Supported since v0.2.2
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Related Issues (20)
- [Bug/Model Request]: Load model files from path, not from huggingface cach directory HOT 4
- [Bug/Model Request]: Support for Alibaba-NLP/gte-multilingual-base
- [Bug/Model Request]: Newly added supported models
- Deprecate prithvida splade due to a typo in the name HOT 1
- [Bug/Model Request]: Issue: DeprecationWarning for tar.extractall Filter Parameter in Python 3.14 and Inconsistent Behavior Across Platforms
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- Add Support to stella-en-400M-v5
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- [Model Request] Re-ranking models HOT 1
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- [Bug/Model Request]: On Windows CUDA not working now HOT 2
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- Remove models in CI to avoid out of disk space error HOT 1
- [Model Request]: Support for BGE-M3 embedding model
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