Instructions to use jfan/litert-lm-web-runtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use jfan/litert-lm-web-runtime 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
- LiteRT-LM
How to use jfan/litert-lm-web-runtime 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=jfan/litert-lm-web-runtime \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Ctrl+K
Release @litert-lm /core@0.18.0-dev: MTP GPU PLE gather + full-vocabulary drafter head (1.44x MTP), audio FP32 fixes; synced to cl/992674170
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