Feature Extraction
LiteRT
LiteRT
on-device
edge
encoder
bidirectional
embeddings
fill-mask
liquid
lfm2
lfm2.5
Instructions to use litert-community/LFM2.5-Encoder-230M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/LFM2.5-Encoder-230M 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-230M LiteRT: int8 (iPhone-verified bit-exact) + fp16, 5 signatures, 15-language parity report
35a9846 verified - Xet hash:
- d7718ed093ba22838384c7900b5b03c78d62d81241db8c82f3fce4577dc5a7a8
- Size of remote file:
- 463 MB
- SHA256:
- 902b110a7df3a0a5a8a8e3013c8fe7aa6c79eb236e97ac69c723c6939451c446
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