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 assets/laya_browser_demo.mp4 from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/cklxx/laya-browser/resolve/main/assets/laya_browser_demo.mp4
- Command line
-
hf download hf://cklxx/laya-browser/assets/laya_browser_demo.mp4
-
curl -L -o laya_browser_demo.mp4 https://huggingface.co/cklxx/laya-browser/resolve/main/assets/laya_browser_demo.mp4
836 kB
- Xet hash:
- 3249ba6a7f365b4a76e8f934f8935b05c9398d23154de50b92a1073aace13a47
- Size of remote file:
- 836 kB
- SHA256:
- b4d52ddb36aa1f21c9f09f2fbe8904c8768b8c50bc513baf8c1b147a33a3f296
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