Automatic Speech Recognition
Transformers
ONNX
Safetensors
Sanskrit
wav2vec2
ctc
sanskrit
vedic-chanting
forced-alignment
Instructions to use chiranjeevisagi/wav2vec2-vedic-aligner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiranjeevisagi/wav2vec2-vedic-aligner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chiranjeevisagi/wav2vec2-vedic-aligner")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chiranjeevisagi/wav2vec2-vedic-aligner") model = AutoModelForCTC.from_pretrained("chiranjeevisagi/wav2vec2-vedic-aligner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!