Feature Extraction
Transformers
Safetensors
English
multilingual
laya_browser
laya
custom_code
system-1
browser-agent
web-navigation
decision-model
mmbert
mind2web
tilelang
Instructions to use cklxx/laya-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cklxx/laya-browser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cklxx/laya-browser", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cklxx/laya-browser", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download code/.python-version from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
-
https://huggingface.co/cklxx/laya-browser/resolve/main/code/.python-version
- Command line
-
hf download hf://cklxx/laya-browser/code/.python-version
-
curl -L -o .python-version https://huggingface.co/cklxx/laya-browser/resolve/main/code/.python-version
5 Bytes
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