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
LFM2.5-Encoder-350M-Prompt-Router LiteRT: int8 (iPhone-verified bit-exact) + fp16, task-level parity verified
3ee2a4b verified - Xet hash:
- 641a8ee5f008fc3ef82f5d5abb26caeb9da6ce40cf19d4c13ab209c21d2d3c5c
- Size of remote file:
- 713 MB
- SHA256:
- f389e561e4ee4f2f3d02678e67d6e5fa2e7a90abd5515f47692f710fe409ce69
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