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/env.sh from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 554 Bytes
-
https://huggingface.co/cklxx/laya-browser/resolve/main/code/env.sh
- Command line
-
hf download hf://cklxx/laya-browser/code/env.sh
-
curl -L -o env.sh https://huggingface.co/cklxx/laya-browser/resolve/main/code/env.sh
554 Bytes
| export HF_ENDPOINT=https://hf-mirror.com | |
| export USE_TF=0 | |
| # hf-mirror redirects LFS files to *.xethub.hf.co, which is reachable direct: keep it off the metered proxy | |
| case ",$no_proxy," in *xethub*) ;; *) export no_proxy="$no_proxy,.xethub.hf.co" NO_PROXY="$no_proxy,.xethub.hf.co";; esac | |
| export UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple | |
| export PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple | |
| # proxy stays on: shell no_proxy (2026-09-21) routes mirrors direct; huggingface.co and github.com need it | |
| export PATH="$HOME/.local/bin:$PATH" | |