Instructions to use litert-community/LFM2.5-Encoder-350M-Prompt-Router 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-Prompt-Router 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
Rank-4 repeat_kv re-export: full mobile-GPU delegation (bitwise-identical CPU outputs)
9b6a09f verified - Xet hash:
- 6aa021cddd1f50b016eaac3db53821fed19493530344c9d94e2d58bb051dd632
- Size of remote file:
- 713 MB
- SHA256:
- 2a16f90752180253ef0832d68f8af8203a5f7626b143d6aaa208e5a4d01f1b50
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