Instructions to use jdmartinev/CREMA_D_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jdmartinev/CREMA_D_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jdmartinev/CREMA_D_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jdmartinev/CREMA_D_Model") model = AutoModelForAudioClassification.from_pretrained("jdmartinev/CREMA_D_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 3d40a12
Training in progress, epoch 4
Browse files
pytorch_model.bin
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