Instructions to use ihaveadog/qwen25-vl-7b-browser-agent-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ihaveadog/qwen25-vl-7b-browser-agent-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-vl-7b-instruct") model = PeftModel.from_pretrained(base_model, "ihaveadog/qwen25-vl-7b-browser-agent-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ihaveadog/qwen25-vl-7b-browser-agent-lora: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/ihaveadog/qwen25-vl-7b-browser-agent-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ihaveadog/qwen25-vl-7b-browser-agent-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ihaveadog/qwen25-vl-7b-browser-agent-lora/resolve/main/adapter_model.safetensors
162 MB
- Xet hash:
- 23752aa1985af4aa9e5eaeaf380956a500b18103b3cbf038d73f4eb7890fc113
- Size of remote file:
- 162 MB
- SHA256:
- fd2ab63901a5829aaa803653b5392061f7e7912023328bbd8f4d09418d685241
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