| from datasets import load_dataset, Audio | |
| dataset = load_dataset("PolyAI/minds14", name="en-US", split="train") | |
| dataset = dataset.cast_column("audio", Audio(sampling_rate=16000)) | |
| sampling_rate = dataset.features["audio"].sampling_rate | |
| audio_file = dataset[0]["audio"]["path"] | |
| The simplest way to try out your finetuned model for inference is to use it in a [pipeline]. |