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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("charris/wav2vecvanilla") model = AutoModelForCTC.from_pretrained("charris/wav2vecvanilla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 120
Verified signature507ae6c -
Training in progress, step 110
Verified signaturece2d14f -
Training in progress, step 90
Verified signatureaac177a -
Training in progress, step 80
Verified signature288598b -
Training in progress, step 50
Verified signaturefef9351 -
Training in progress, step 10
Verified signature90682f9 -
initial commit
Verified signature04d5d9e