Instructions to use Hemg/small-deepfake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/small-deepfake with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Hemg/small-deepfake")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Hemg/small-deepfake") model = AutoModelForAudioClassification.from_pretrained("Hemg/small-deepfake") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Mar28_04-05-41_5923093c863b/events.out.tfevents.1711598743.5923093c863b.1521.10
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training_args.bin
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