fixed hf hub

requirements.txt

@@ -10,7 +10,7 @@ matplotlib
 phonemizer
 tensorboard
 amfm_decompy
-transformers
 torch==2.3.1
 numpy==1.26.4
-librosa==0.9.1
+librosa==0.9.1
+huggingface-hub==0.28.1

utils.py

@@ -18,11 +18,7 @@ logger = logging.getLogger(__name__)
 
 def load_checkpoint(checkpoint_path, model, optimizer=None, skip_optimizer=False):
     assert os.path.isfile(checkpoint_path)
-    checkpoint_dict = torch.load(
-        checkpoint_path,
-        map_location="cpu",
-        weights_only=False,
-    )
+    checkpoint_dict = torch.load(checkpoint_path, map_location="cpu")
     iteration = checkpoint_dict["iteration"]
     learning_rate = checkpoint_dict["learning_rate"]
     if (