Instructions to use Selma323/SynthMixed-TorgoAll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/SynthMixed-TorgoAll with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/SynthMixed-TorgoAll")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/SynthMixed-TorgoAll") model = AutoModelForAudioClassification.from_pretrained("Selma323/SynthMixed-TorgoAll", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 10
Verified signature35a15a3 -
Training in progress, epoch 9
Verified signature84b3205 -
Training in progress, epoch 8
Verified signature4c9523b -
Training in progress, epoch 7
Verified signature8fa0df2 -
Training in progress, epoch 6
Verified signature17804d9 -
Training in progress, epoch 5
Verified signature2190fea -
Training in progress, epoch 4
Verified signaturecc52e26 -
Training in progress, epoch 3
Verified signature04e4b8a -
Training in progress, epoch 2
Verified signature8730872 -
Training in progress, epoch 1
Verified signature1befc84 -
initial commit
Verified signature24b5ff8