Instructions to use litert-community/Qwen3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Qwen3-8B 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 litert-lm run \ --from-huggingface-repo=litert-community/Qwen3-8B \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 135b4a7d2e2e7c863938d605d4f157179e6ca3abc664ba00d9d021a547513682
- Size of remote file:
- 8.31 GB
- SHA256:
- 2c24953f2ade203216d6588376dbabcecdd0aebac11667d4c24f1819e418e82c
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