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:
- f8dcfa41b967b11e212e9e66df0e75ee02f82d9d88d67cb407c9ed1535a60cbb
- Size of remote file:
- 1.26 GB
- SHA256:
- e1a9192d9a7082f1dc1407efd746472b05de66c6dadfc864494323b888f3c6e9
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