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:
- 6b2c8502ec8a923f0dcaa13f8beed8128625df743312d0a25ab5e456c395c735
- Size of remote file:
- 246 MB
- SHA256:
- 0cafa6d268512fa83f74843fb3a5127408659ec4d4aaf2b3f6ef6ba660aca6ef
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