Instructions to use Bgeorge/model_dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bgeorge/model_dialect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Bgeorge/model_dialect")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bgeorge/model_dialect") model = AutoModelForAudioClassification.from_pretrained("Bgeorge/model_dialect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 16
Verified signaturec85e6c4 -
Training in progress, epoch 16
Verified signature65b1030 -
Training in progress, epoch 14
Verified signaturebad9aa6 -
Training in progress, epoch 13
Verified signature4080f8f -
Training in progress, epoch 12
Verified signatureec21619 -
Training in progress, epoch 12
Verified signaturea34649d -
Training in progress, epoch 10
Verified signature113fb11 -
Training in progress, epoch 9
Verified signature901e7c4 -
Training in progress, epoch 8
Verified signatureb75920c -
Training in progress, epoch 8
Verified signature72767df -
Training in progress, epoch 6
Verified signature5fb317a -
Training in progress, epoch 5
Verified signature655be2c -
Training in progress, epoch 4
Verified signature4b7e425 -
Training in progress, epoch 4
Verified signatureef550c8 -
Training in progress, epoch 2
Verified signature6849974 -
Training in progress, epoch 1
Verified signatureb390347 -
Training in progress, epoch 0
Verified signature3aaacff