Automatic Speech Recognition
Transformers
PyTorch
JAX
Hindi
whisper
whisper-event
Eval Results (legacy)
Instructions to use vasista22/whisper-hindi-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasista22/whisper-hindi-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vasista22/whisper-hindi-large-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("vasista22/whisper-hindi-large-v2") model = AutoModelForMultimodalLM.from_pretrained("vasista22/whisper-hindi-large-v2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K