Instructions to use hillerw/chicbook-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use hillerw/chicbook-models with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=hillerw/chicbook-models \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
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Add embeddinggemma-2-text-270m.litertlm (unmodified, from litert-community at 9be6e8b), for the app's record search
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21 days ago
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gemma-4-E4B-it.litertlm, unmodified from litert-community at 2eee7ac3
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gemma-4-E2B-it.litertlm, unmodified from litert-community at b3ca0d2f
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Apache 2.0 license text
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Model card: what this mirror is and where each file comes from
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initial commit
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