Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Marathi
wav2vec2
mozilla-foundation/common_voice_8_0
robust-speech-event
Generated from Trainer
hf-asr-leaderboard
Instructions to use StephennFernandes/XLS-R-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StephennFernandes/XLS-R-marathi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="StephennFernandes/XLS-R-marathi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("StephennFernandes/XLS-R-marathi") model = AutoModelForCTC.from_pretrained("StephennFernandes/XLS-R-marathi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6490b9a4100aecdbd12d63cb6f39683fbffb7ff3b0cbcf630f9ada33dd985a0b
- Size of remote file:
- 1.26 GB
- SHA256:
- b258632f0cfedcddb29b37919e6c05f3c80b296f0b8d1274fe7da339ac69370e
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