Instructions to use 4ntoine/LocoOperator-4B-LiteRTLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use 4ntoine/LocoOperator-4B-LiteRTLM 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 litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=4ntoine/LocoOperator-4B-LiteRTLM \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eea94a7df85514cf15304632c5d3ec20e029b6ba90cb7c07d7d34071dee16e7
- Size of remote file:
- 4.06 GB
- SHA256:
- caff9d491076262da5d341206de844192a7454fb0aafd8458900ae8f6cb91564
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