How to use DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5")
# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5") model = AutoModelForCTC.from_pretrained("DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5")
