update

README.md

@@ -52,7 +52,7 @@ model = bigvgan.BigVGAN.from_pretrained('nvidia/bigvgan_base_22khz_80band')
 
 # remove weight norm in the model and set to eval mode
 model.remove_weight_norm()
-model.eval().to(device)
+model = model.eval().to(device)
 
 import librosa
 from meldataset import get_mel_spectrogram

bigvgan.py

@@ -333,7 +333,7 @@ class BigVGAN(
             print("Loading weights from local directory")
             model_file = os.path.join(model_id, 'bigvgan_generator.pt')
         else:
-            print(f"Downloading weights from {model_id}")
+            print(f"Loading weights from {model_id}")
             model_file = hf_hub_download(
                 repo_id=model_id,
                 filename='bigvgan_generator.pt',