Instructions to use BoghdadyJR/Qwen_UI_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BoghdadyJR/Qwen_UI_final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2-vl-2b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "BoghdadyJR/Qwen_UI_final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8afa1f6f3ea3f16d98fce7895282a83c4eb38b30af190f43649a5188663f721
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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