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/finetune/run_suiteC.sh from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 822 Bytes
-
https://huggingface.co/cklxx/laya-browser/resolve/main/code/finetune/run_suiteC.sh
- Command line
-
hf download hf://cklxx/laya-browser/code/finetune/run_suiteC.sh
-
curl -L -o run_suiteC.sh https://huggingface.co/cklxx/laya-browser/resolve/main/code/finetune/run_suiteC.sh
822 Bytes
| # Suite C x2 for one or more checkpoints (dirs), same harness/fixes for all. Run inside finetune/isolated.sh. | |
| cd /home/ckl/projects/S/laya && source env.sh | |
| I="bash finetune/infra.sh"; O=finetune/out | |
| $I start_chrome >/dev/null; SGL_MEM=0.5 $I start_sglang Qwen/Qwen3-8B-AWQ >/dev/null | |
| until curl -sf -m 3 --noproxy '*' http://127.0.0.1:30000/health >/dev/null; do sleep 5; done | |
| for CK in "$@"; do | |
| N=$(basename $(dirname $CK/x))_$(basename $CK) | |
| $I start_s1 $CK 60 >/dev/null | |
| echo "== $N suite C x${REPEATS:-2}"; (cd ../jev-ultrafast && SUITE_TRACE=$PWD/../laya/$O/suiteC_trace${TAG}_$N.jsonl REPEATS=${REPEATS:-2} SUITE_OUT=$PWD/../laya/$O/suiteC_cmp${REPEATS:-2}${TAG}_$N.json timeout $((2700 * ${REPEATS:-2})) .venv/bin/python ../laya/apps/browser_suite_c.py 2>&1 | grep -E "^==") | |
| done | |
| echo SUITEC_DONE | |