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:
- d1407107fa1e6a3495fae9edd8ab12c95ba5837c7f1ab294cf770159ec1eadd1
- Size of remote file:
- 365 MB
- SHA256:
- e65a311123f87b5c5e357cebbdc3efd53526ec11dacb793bee61aa453c3cbd75
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