How to use bookbot/wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bookbot/wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot")
# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bookbot/wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot") model = AutoModelForCTC.from_pretrained("bookbot/wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot")
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