How to use SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1")
# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1") model = AutoModelForCTC.from_pretrained("SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1", device_map="auto")
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