Instructions to use saran3026/whisper-small-dialect-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saran3026/whisper-small-dialect-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="saran3026/whisper-small-dialect-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("saran3026/whisper-small-dialect-classifier") model = AutoModelForAudioClassification.from_pretrained("saran3026/whisper-small-dialect-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 13
Verified signatureb2b81ca -
Training in progress, epoch 12
Verified signature329fc7f -
Training in progress, epoch 11
Verified signature46aca2e -
Training in progress, epoch 10
Verified signature146fa3a -
Training in progress, epoch 9
Verified signaturec270304 -
Training in progress, epoch 8
Verified signature7c27f0d -
Training in progress, epoch 7
Verified signaturea50c1ee -
Training in progress, epoch 6
Verified signaturef167eb7 -
Training in progress, epoch 5
Verified signature1acbff1 -
Training in progress, epoch 4
Verified signature090402a -
Training in progress, epoch 3
Verified signatured2a6c7c -
Training in progress, epoch 2
Verified signatured810008 -
Training in progress, epoch 1
Verified signaturee7e5d79 -
initial commit
Verified signature30c3239