Automatic Speech Recognition
Transformers
PyTorch
JAX
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use danurahul/wav2vec2-large-xlsr-pa-IN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danurahul/wav2vec2-large-xlsr-pa-IN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danurahul/wav2vec2-large-xlsr-pa-IN")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("danurahul/wav2vec2-large-xlsr-pa-IN") model = AutoModelForCTC.from_pretrained("danurahul/wav2vec2-large-xlsr-pa-IN", device_map="auto") - Notebooks
- Google Colab
- Kaggle