How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="Patil/wav2vec2-large-xlsr-53-marathi")
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("Patil/wav2vec2-large-xlsr-53-marathi")
model = AutoModelForCTC.from_pretrained("Patil/wav2vec2-large-xlsr-53-marathi")
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Speech to text model for Marathi Language

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Safetensors
Model size
0.3B params
Tensor type
F32
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Dataset used to train Patil/wav2vec2-large-xlsr-53-marathi