File size: 350 Bytes
5fa1a76 |
1 2 3 4 5 6 7 8 |
lj_speech = lj_speech.cast_column("audio", Audio(sampling_rate=16_000)) Load a processor with [AutoProcessor.from_pretrained]: from transformers import AutoProcessor processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h") Create a function to process the audio data contained in array to input_values, and tokenize text to labels. |