Feature Extraction
LiteRT
LiteRT
on-device
edge
encoder
bidirectional
embeddings
fill-mask
liquid
lfm2
lfm2.5
Instructions to use litert-community/LFM2.5-Encoder-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/LFM2.5-Encoder-350M with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
LFM2.5-Encoder-350M LiteRT: int8 (iPhone-verified bit-exact) + fp16, 5 signatures, 15-language parity report
16e04aa verified - Xet hash:
- d700b818f72c30d331dc678b3ffce301709443a46ed9d2416801605f88172a06
- Size of remote file:
- 376 MB
- SHA256:
- 2027379c38ab48ca0eb767874585ad59af8ee7acda9c4137cab83ac0c7798bac
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