Instructions to use charris/wav2vecvanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charris/wav2vecvanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charris/wav2vecvanilla")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("charris/wav2vecvanilla") model = AutoModelForCTC.from_pretrained("charris/wav2vecvanilla") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("charris/wav2vecvanilla")
model = AutoModelForCTC.from_pretrained("charris/wav2vecvanilla")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charris/wav2vecvanilla")