Instructions to use glenn2/whisper-small-b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glenn2/whisper-small-b4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="glenn2/whisper-small-b4")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("glenn2/whisper-small-b4") model = AutoModelForMultimodalLM.from_pretrained("glenn2/whisper-small-b4") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("glenn2/whisper-small-b4")
model = AutoModelForMultimodalLM.from_pretrained("glenn2/whisper-small-b4")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="glenn2/whisper-small-b4")