Instructions to use OpenMachineAI/Lulu245M-Mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMachineAI/Lulu245M-Mobile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMachineAI/Lulu245M-Mobile", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files---
license: other
language:
- en
library_name: onnx
tags:
- android
- onnx
- onnxruntime
- local-ai
- offline-ai
- edge-ai
- mobile-ai
- cpu-inference
- kotlin
- open-machine
- lulu
pipeline_tag: text-generation
---
# Lulu Local Android Demo
**Lulu Local** is an offline Android AI demo by **Open Machine**.
This release runs a local Lulu language model directly on an Android phone using **ONNX Runtime CPU inference**.
No cloud.
No server.
No GPU.
No NPU.
No internet required after install.
This is a raw early proof that a custom local model can run directly on consumer Android hardware.
## What is included
This repository contains:
- Android APK
- ONNX model
- tokenizer
- source archive
- screenshots
- release notes
Main files:
```text
LuluLocal-Android-CPU-fp32.apk
model/lulu_step_stateful_fp32.onnx
tokenizer/tokenizer.json
source/LuluLocal-source.zip