Instructions to use SpringWang08/medical-vqa-soup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SpringWang08/medical-vqa-soup 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-soup") - Notebooks
- Google Colab
- Kaggle
File size: 660 Bytes
216704c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"method": "linear",
"base_model": "chaoyinshe/llava-med-v1.5-mistral-7b-hf",
"adapters": [
"/Users/springwang/Library/Mobile Documents/com~apple~CloudDocs/juniorYear/DeepLearning/Final_523H0173_523H0178/DL_MedicalVQA_Project/checkpoints/B2/checkpoint-3355",
"/Users/springwang/Library/Mobile Documents/com~apple~CloudDocs/juniorYear/DeepLearning/Final_523H0173_523H0178/DL_MedicalVQA_Project/checkpoints/DPO/final_adapter",
"/Users/springwang/Library/Mobile Documents/com~apple~CloudDocs/juniorYear/DeepLearning/Final_523H0173_523H0178/DL_MedicalVQA_Project/checkpoints/PPO/final_adapter"
],
"weights": [
0.4,
0.3,
0.3
]
} |