src/aiunn/finetune.py

@@ -3,7 +3,7 @@ import io
 from PIL import Image
 from torch.utils.data import Dataset
 from torchvision import transforms
-from aiia import AIIA
+from aiia import AIIABase
 import csv
 from tqdm import tqdm
 
@@ -39,7 +39,7 @@ import torch
 pretrained_model_path = "/root/vision/AIIA/AIIA-base-512"  
 
 # Load the model using the AIIA.load class method (the implementation copied in your query)
-model = AIIA.load(pretrained_model_path)
+model = AIIABase.load(pretrained_model_path)
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
 from torch import nn, optim