Text Classification
Transformers
Safetensors
Laya
English
system-one
decision-model
android
mobile-agent
gui-agent
accessibility
androidcontrol
mmbert
Eval Results (legacy)
Instructions to use ByunByun/laya-android with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ByunByun/laya-android with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ByunByun/laya-android")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ByunByun/laya-android", device_map="auto") - Laya
How to use ByunByun/laya-android with Laya:
# 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
Download NOTICE from ByunByun/laya-android: direct link, hf CLI and curl.
- Browser
- Download file 1.5 kB
-
https://huggingface.co/ByunByun/laya-android/resolve/main/NOTICE
- Command line
-
hf download hf://ByunByun/laya-android/NOTICE
-
curl -L -o NOTICE https://huggingface.co/ByunByun/laya-android/resolve/main/NOTICE
1.5 kB
| Laya-Android | |
| Copyright 2026 Jaeyeon Byun | |
| This project is licensed under the Apache License, Version 2.0 (see LICENSE). | |
| This project builds on the following third-party work: | |
| 1. Laya (code and model weights) by Convai Innovations | |
| https://github.com/NandhaKishorM/laya | |
| https://huggingface.co/convaiinnovations/laya | |
| Licensed under the Apache License, Version 2.0. | |
| Laya-Android fine-tunes the `multilingual` checkpoint of convaiinnovations/laya | |
| (revision 7b928d828b7b0e022f929d9bd2e44165aa270148) and uses the `laya` Python | |
| package (0.3.28) for model code, input encoding and the training loop. | |
| Laya-Android is not affiliated with or endorsed by Convai Innovations. | |
| 2. mmBERT-base (encoder backbone inside the Laya multilingual checkpoint) | |
| https://huggingface.co/jhu-clsp/mmBERT-base | |
| Licensed under the MIT License. | |
| 3. AndroidControl dataset by Google Research | |
| https://github.com/google-research/google-research/tree/master/android_control | |
| Copyright 2024 The Google Research Authors. | |
| Licensed under the Apache License, Version 2.0. | |
| Li et al., "On the Effects of Data Scale on Computer Control Agents", arXiv:2406.03679. | |
| The dataset is not redistributed in this repository, except for the recorded screenshots of two | |
| validation episodes shown in figures/replay_*.png (unmodified apart from resizing and overlays). | |
| 4. Accessibility proto field layout follows google-deepmind/android_env | |
| (Apache License, Version 2.0). No android_env code is included. | |