Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use akmalmasud96/xlsr-53-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akmalmasud96/xlsr-53-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="akmalmasud96/xlsr-53-ur")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("akmalmasud96/xlsr-53-ur") model = AutoModelForCTC.from_pretrained("akmalmasud96/xlsr-53-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K