Instructions to use Oscarshih/Whisper-small-NMSQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oscarshih/Whisper-small-NMSQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Oscarshih/Whisper-small-NMSQA")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Oscarshih/Whisper-small-NMSQA") model = AutoModelForMultimodalLM.from_pretrained("Oscarshih/Whisper-small-NMSQA") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot