Instructions to use bisoye/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bisoye/wav2vec2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="bisoye/wav2vec2-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("bisoye/wav2vec2-base") model = AutoModelForAudioClassification.from_pretrained("bisoye/wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature0a105ef -
Training in progress, epoch 9
Verified signature09d99f3 -
Training in progress, epoch 8
Verified signature427dadd -
Training in progress, epoch 8
Verified signaturea68a8ff -
Training in progress, epoch 6
Verified signatured3f86f9 -
Training in progress, epoch 6
Verified signature0e0a690 -
Training in progress, epoch 4
Verified signature5c2e83e -
Training in progress, epoch 4
Verified signature529db4e -
Training in progress, epoch 2
Verified signaturefd1303e -
Training in progress, epoch 2
Verified signaturebcf007c -
Training in progress, epoch 0
Verified signaturea54ac4c -
initial commit
Verified signature52fa7ad