Instructions to use litert-community/TinySwallow-1.5B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/TinySwallow-1.5B-Instruct 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=litert-community/TinySwallow-1.5B-Instruct \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90cdac4744e97a96061c196866746561de82f4761d432495574372b6aa300976
- Size of remote file:
- 1.57 GB
- SHA256:
- a79dab105dca3474188cb2cd7f3e94380567dd10d788c830ca7f7388d4ce816b
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