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")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/first_dys_model") model = AutoModelForAudioClassification.from_pretrained("Selma323/first_dys_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
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runs/May14_19-17-50_5646942a9400/events.out.tfevents.1715714271.5646942a9400.258.9
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