Data Science, Machine Learning, Artificial Intelligence, Technology, Python.
pipeline(task="audio-classification", model="superb/hubert-base-superb-er") preds = classifier("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac") preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds] here is a more robust version of the code: