Update README.md

2022-11-07 13:03:46 -08:00
parent 375cf16264
commit c69a553665
1 changed files with 0 additions and 1 deletions
@@ -73,7 +73,6 @@ text_embeddings = clap_model.get_text_embeddings(Y)
 y_preds, y_labels = [], []
 for i in tqdm(range(len(dataset))):
    x, _, one_hot_target = dataset.__getitem__(i)
-
    audio_embeddings = clap_model.get_audio_embeddings([x], resample=True)
    similarity = clap_model.compute_similarity(audio_embeddings, text_embeddings)
    y_pred = F.softmax(similarity.detach().cpu(), dim=1).numpy()