Instructions to use Shreeyut/Audio-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shreeyut/Audio-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Shreeyut/Audio-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Shreeyut/Audio-Classification") model = AutoModelForAudioClassification.from_pretrained("Shreeyut/Audio-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature2bf738c -
Training in progress, epoch 10
Verified signaturee09e0db -
Training in progress, epoch 9
Verified signaturec176189 -
Training in progress, epoch 8
Verified signature17bcaf2 -
Training in progress, epoch 7
Verified signature00fd758 -
Training in progress, epoch 6
Verified signature1991c6d -
Training in progress, epoch 5
Verified signature818de04 -
Training in progress, epoch 4
Verified signature9484b11 -
Training in progress, epoch 2
Verified signature233dfcb -
Training in progress, epoch 1
Verified signature75b41ec -
initial commit
Verified signature8f76a31