Instructions to use ChaoticRay/cookxpert-chef-gemma3-1b-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use ChaoticRay/cookxpert-chef-gemma3-1b-litert 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=ChaoticRay/cookxpert-chef-gemma3-1b-litert \ --prompt="Write me a poem"
- LiteRT
How to use ChaoticRay/cookxpert-chef-gemma3-1b-litert 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
- Notebooks
- Google Colab
- Kaggle
CookXpert Chef Gemma 3 1B (LiteRT)
Native Android .litertlm bundles for on-device Chef AI (Gallery-style NPU + GPU fallback).
Interim weights are mirrored from litert-community/Gemma3-1B-IT under CookXpert filenames until custom fine-tuned LoRA exports are uploaded.
Replace with fine-tuned Chef weights
export HF_TOKEN=hf_...
# After train + merge + compile_litert.sh:
python ml/cookxpert_chef_ft/publish_litert_to_hf.py \
--config ml/cookxpert_chef_ft/config.litert-gemma.yaml --all-built --create-repo
When CookXpert-named .litertlm files exist here, the Android APK prefers them over community mirrors.
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