Instructions to use SpringWang08/medical-vqa-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SpringWang08/medical-vqa-b2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("chaoyinshe/llava-med-v1.5-mistral-7b-hf") model = PeftModel.from_pretrained(base_model, "SpringWang08/medical-vqa-b2") - Notebooks
- Google Colab
- Kaggle
File size: 212 Bytes
0b5e96d | 1 2 3 4 5 6 7 8 9 10 11 | ---
license: apache-2.0
base_model: chaoyinshe/llava-med-v1.5-mistral-7b-hf
library_name: peft
pipeline_tag: visual-question-answering
---
# Medical VQA B2
LoRA/adapter checkpoint for the B2 medical VQA model.
|