changes

app.py

@@ -11,7 +11,8 @@ config.label2id = {"neu": 0, "hap": 1, "ang": 2, "sad": 3, "dis": 4, "sur": 5, "
 config.num_labels = 8  # Set it to the number of classes in your SER task
 
 # Load the pre-trained model with the modified configuration
-model = HubertForSequenceClassification.from_pretrained(model_name, config=config, ignore_mismatched_sizes=True)
+model = HubertForSequenceClassification.from_pretrained("superb/hubert-large-superb-er", config=config, ignore_mismatched_sizes=True)
+model.load_state_dict(torch.load(model_name))
 model.to('cuda' if torch.cuda.is_available() else 'cpu')
 model.eval()
 

model_hubert_finetuned_nopeft.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c7536142280dd3b7d9ffeafa6cae661e482c3856b66f68ce504460bee8a16c5
-size 706478080
+oid sha256:58ee5f8eb8921986214e4a4d74b31f06e205e27ee3a3f54f877619bcb94fab77
+size 1262994278