Feature Extraction
Transformers
Safetensors
Laya
English
multilingual
laya_browser
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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cklxx/laya-browser", trust_remote_code=True, device_map="auto") - Laya
How to use cklxx/laya-browser 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
Commit History
21 days ago
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v19s: WebChain real-site trajectories, format v5, webgym x7 + DAgger, harness fixes; replaces v17s
Verified signaturesuite C 2/54 -> 11-14/54, webgym 15/70 -> 30/70, suite B 54/54, suite A 39/48. Latency: 22-27 ms at full GPU clock, 75-270 ms after idle (see README).454b3e6
24 days ago
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Single model: v17s (suite A 85 %, suite B 100 %, webgym 47 %); replaces v15s (kept in history)
Verified signatureac29aef
25 days ago
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v14s checkpoint, held-out suite B (100 %), harness fixes, webgym + sub-goal data pipeline, DAgger leak correction
Verified signature8086c56
29 days ago
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laya-browser v10 / v10s: laya fine-tuned as a browser-agent decision head + code + results
Verified signatureadf912b