Instructions to use Selma323/first_dys_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/first_dys_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/first_dys_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/first_dys_model") model = AutoModelForAudioClassification.from_pretrained("Selma323/first_dys_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 1
Verified signatureb4eb622 -
Training in progress, epoch 1
Verified signature08f75b0 -
Training in progress, epoch 1
Verified signature66a5f6a
-
Training in progress, epoch 1
Verified signature719d6b6 -
Training in progress, epoch 1
Verified signaturef23e177
-
Training in progress, epoch 1
Verified signature29c95e8
-
Training in progress, epoch 1
Verified signaturea5c41f8
-
Training in progress, epoch 1
Verified signature457b3ea
-
Training in progress, epoch 1
Verified signaturea4c5d72 -
Training in progress, epoch 1
Verified signature336956d -
Training in progress, epoch 1
Verified signature5420b67