Ahmadzei's picture
added 3 more tables for large emb model
5fa1a76
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.