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)
31cd5d3 verified - Xet hash:
- c2b53a7c922fc25920f7ba9f17c81f20ac143796f27c026ffae6f58f59668d22
- Size of remote file:
- 365 MB
- SHA256:
- 21adf7eb9794451782c34dff609f8d1caed91d4f64627fe8d3e9ff2775479c58
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