Instructions to use qgfvadfuvads/Q-Prefer-D2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qgfvadfuvads/Q-Prefer-D2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "qgfvadfuvads/Q-Prefer-D2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f96d389c6059dcabbfbaac510b515a859d6dce54228eca172d94fc002acdb8c
- Size of remote file:
- 11.4 MB
- SHA256:
- 6a94da47b08f462ed0c51e35ceef5955392725be43bba73524ac935c0e23804f
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