Text Generation
PEFT
Safetensors
qwen2.5
lora
ui-agent
qlora
desktop-automation
playwright
langgraph
instruction-finetuned
conversational
Instructions to use zaid646/multimodal-vision-agent-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zaid646/multimodal-vision-agent-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "zaid646/multimodal-vision-agent-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bd908ad0df3b98b8e950845c74effdbec10511456d11385b1bce81337b5e458
- Size of remote file:
- 11.4 MB
- SHA256:
- d4b3fd40ce9345a559acbb2f18d1b0061a94c4197e899ef94f623749188852d8
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