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
File size: 2,453 Bytes
8086c56 454b3e6 8086c56 454b3e6 8086c56 454b3e6 8086c56 454b3e6 8086c56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | #!/bin/bash
# infra.sh start_chrome | start_sglang [model] | start_llama [gguf] | start_s1 <ckpt_dir> [maxopt] | stop_s1 | stop_all | status
S=${INFRA_DIR:-/tmp/laya-infra}; mkdir -p $S
L=~/projects/S/laya
case "$1" in
start_chrome)
curl -s -m 3 http://127.0.0.1:9222/json/version >/dev/null && { echo chrome up; exit 0; }
nohup chromium --headless=new ${CHROME_EXTRA:-} --remote-debugging-port=9222 --user-data-dir=$S/chrome-profile --window-size=1120,780 --no-first-run --lang=en-US --accept-lang=en-US,en about:blank >$S/chrome.log 2>&1 &
sleep 3; curl -s -m 3 http://127.0.0.1:9222/json/version | head -c 120; echo ;;
start_sglang)
M=${2:-Qwen/Qwen3-8B-AWQ}
curl -s -m 3 http://127.0.0.1:30000/health >/dev/null && { echo sglang up; exit 0; }
cd $L; HF_HUB_OFFLINE=1 nohup ~/sglang-venv/bin/python -m sglang.launch_server --model-path $M --port 30000 --mem-fraction-static ${SGL_MEM:-0.35} --context-length 8192 --reasoning-parser qwen3 >$S/sglang.log 2>&1 &
echo "sglang starting (pid $!)";;
start_llama) # local Qwen3.6-35B-A3B (GGUF, MoE experts partly on CPU) on :30000, OpenAI-compatible; replaces sglang
curl -s -m 3 --noproxy '*' http://127.0.0.1:30000/health >/dev/null && { echo "llm up"; exit 0; }
M=${2:-$HOME/models/qwen3.6-35b-a3b/Qwen3.6-35B-A3B-UD-IQ4_XS.gguf}
nohup ~/.local/share/llama.cpp/build/bin/llama-server -m $M --port 30000 --host 127.0.0.1 -ngl 99 --n-cpu-moe ${LLAMA_CPU_MOE:-26} \
-c ${LLAMA_CTX:-24576} -np ${LLAMA_PAR:-3} --jinja -fa on --no-webui >$S/llama.log 2>&1 &
echo "llama-server starting (pid $!)";;
start_s1)
bash $0 stop_s1
cd $L; source env.sh; nohup env ESCALATE_TAU=${ESCALATE_TAU:-0} .venv/bin/python apps/systemone_server.py 8791 "$2" ${3:-999} >$S/s1.log 2>&1 &
for i in $(seq 1 90); do curl -s -m 2 http://127.0.0.1:8791/ >/dev/null 2>&1 && { echo "s1 up ($2)"; exit 0; }; sleep 2; done; echo "s1 FAILED"; tail -5 $S/s1.log;;
stop_chrome) pkill -f 'remote-debugging-port=922[2]' 2>/dev/null; sleep 2;;
stop_s1) pkill -f 'apps/systemone_serve[r]' 2>/dev/null; sleep 1;;
stop_all) bash $0 stop_s1; pkill -f 'sglang.launch_serve[r]' 2>/dev/null; pkill -f 'bin/llama-serve[r]' 2>/dev/null; pkill -f 'remote-debugging-port=9222' 2>/dev/null; echo stopped;;
status) for p in 9222 8791 30000; do (ss -ltn | grep -q ":$p ") && echo "$p up" || echo "$p down"; done; nvidia-smi --query-gpu=memory.used --format=csv,noheader;;
esac
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