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
Card: base_model_relation: quantized (list under the base model's Quantizations)
Browse files
README.md
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- liquid
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- lfm2
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# LFM2.5-Encoder-350M-Prompt-Router — LiteRT
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- liquid
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- lfm2
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- lfm2.5
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base_model_relation: quantized
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---
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# LFM2.5-Encoder-350M-Prompt-Router — LiteRT
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