Instructions to use ronaldmannak/LFM2.5-Embedding-350M-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ronaldmannak/LFM2.5-Embedding-350M-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-Embedding-350M-bf16 ronaldmannak/LFM2.5-Embedding-350M-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- da2f63ff4f34412403de2cb04406b1a23d7ffae8ebad478c6b3b98ba9c208db4
- Size of remote file:
- 709 MB
- SHA256:
- bcd50fd7ea9a91744b56542f138414f0fecc42b57481e4bd262e50b55ed080ca
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