Instructions to use MergeMedBench/Qwen3-VL-2B-Instruct-Fundus-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MergeMedBench/Qwen3-VL-2B-Instruct-Fundus-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "MergeMedBench/Qwen3-VL-2B-Instruct-Fundus-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d2ad33a21b474d09941cce8956a9d07e572551d620e733bc103220c0a698ad
- Size of remote file:
- 12.9 MB
- SHA256:
- ae207b00a84fc693f8bc484f5b71fca3c782858506d9e8b4ef647984e846c537
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