Text Classification
PEFT
Safetensors
English
browser-use
browser-agent
web-agents
computer-use
ui-automation
decision-model
jev
kev
mind2web
qwen3
lora
webgpu
Eval Results (legacy)
Instructions to use arbazsiddiqui/kev-0.6b-browser-use with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arbazsiddiqui/kev-0.6b-browser-use with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3-0.6B-Base") model = PeftModel.from_pretrained(base_model, "arbazsiddiqui/kev-0.6b-browser-use") - Notebooks
- Google Colab
- Kaggle
Download results.png from arbazsiddiqui/kev-0.6b-browser-use: direct link, hf CLI and curl.
- Browser
- Download file 119 kB
-
https://huggingface.co/arbazsiddiqui/kev-0.6b-browser-use/resolve/main/results.png
- Command line
-
hf download hf://arbazsiddiqui/kev-0.6b-browser-use/results.png
-
curl -L -o results.png https://huggingface.co/arbazsiddiqui/kev-0.6b-browser-use/resolve/main/results.png
119 kB

- Xet hash:
- dbc1a2f65a51d452d712da0e1fb567f6d2e2e002458c3685f5ce5d8d5e7c41c7
- Size of remote file:
- 119 kB
- SHA256:
- 2e1b951968e4c3bcdc4ad408003155565b809e0d40fde1b671bc17df9dcb5f9d
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