Instructions to use meetyildiz/classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetyildiz/classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="meetyildiz/classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("meetyildiz/classification_model") model = AutoModelForAudioClassification.from_pretrained("meetyildiz/classification_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
342bfc8
1
Parent(s): 0c84d3f
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Feb26_14-42-32_MacBook-Pro.local/events.out.tfevents.1677411758.MacBook-Pro.local.29777.0
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