diff --git a/learn2learn/vision/datasets/cu_birds200.py b/learn2learn/vision/datasets/cu_birds200.py
index de7fab4b..b9acef30 100644
--- a/learn2learn/vision/datasets/cu_birds200.py
+++ b/learn2learn/vision/datasets/cu_birds200.py
@@ -5,11 +5,15 @@
 import torch
 
 from PIL import Image
-from learn2learn.data.utils import download_file_from_google_drive
+from learn2learn.data.utils import (
+    download_file_from_google_drive,
+    download_file,
+)
 
 DATA_DIR = 'cubirds200'
 DATA_FILENAME = 'CUB_200_2011.tgz'
 ARCHIVE_ID = '1hbzc_P1FuxMkcabkgn9ZKinBwW683j45'
+ZENODO_URL = 'https://zenodo.org/record/8000562/files/CUB_200_2011.tgz'
 
 SPLITS = {
     'train': [
@@ -353,11 +357,18 @@ def download(self):
         os.makedirs(data_path, exist_ok=True)
         tar_path = os.path.join(data_path, DATA_FILENAME)
         print('Downloading CUBirds200 dataset. (1.1Gb)')
-        download_file_from_google_drive(ARCHIVE_ID, tar_path)
-        tar_file = tarfile.open(tar_path)
-        tar_file.extractall(data_path)
-        tar_file.close()
-        os.remove(tar_path)
+        try:
+            download_file(ZENODO_URL, tar_path)
+            tar_file = tarfile.open(tar_path)
+            tar_file.extractall(data_path)
+            tar_file.close()
+            os.remove(tar_path)
+        except Exception:
+            download_file_from_google_drive(ARCHIVE_ID, tar_path)
+            tar_file = tarfile.open(tar_path)
+            tar_file.extractall(data_path)
+            tar_file.close()
+            os.remove(tar_path)
 
     def load_data(self, mode='train'):
         classes = sum(SPLITS.values(), []) if mode == 'all' else SPLITS[mode]
@@ -425,7 +436,7 @@ def __len__(self):
 if __name__ == '__main__':
     import torchvision as tv
     cub = CUBirds200(
-        root='~/data',
+        root='./zenodo_data',
         mode='train',
         download=True,
         include_imagenet_duplicates=False,