Automatic Speech Recognition
Transformers
sravaani_streaming_tdt
feature-extraction
streaming
cache-aware
fastconformer
ctc
sravaani
vaani
indic
real-time
custom_code
Instructions to use ARTPARK-IISc/SraVaani-0.5-live with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARTPARK-IISc/SraVaani-0.5-live with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ARTPARK-IISc/SraVaani-0.5-live", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ARTPARK-IISc/SraVaani-0.5-live", trust_remote_code=True, 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!