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 tokenizer/tokenizer.json from ByunByun/laya-android: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/ByunByun/laya-android/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://ByunByun/laya-android/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ByunByun/laya-android/resolve/main/tokenizer/tokenizer.json
34.4 MB
- Xet hash:
- f582a2119af92a5d1598c3c1fbdd2b73487adb83aaf1bc721536570000f85aa5
- Size of remote file:
- 34.4 MB
- SHA256:
- dbba919c6e5e492bc22beb80abb64e6fcc7e8744dc696e8388b8c977767afa4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.