Instructions to use mo-thecreator/Deepfake-audio-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mo-thecreator/Deepfake-audio-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mo-thecreator/Deepfake-audio-detection")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mo-thecreator/Deepfake-audio-detection") model = AutoModelForAudioClassification.from_pretrained("mo-thecreator/Deepfake-audio-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d6aecfe53fb43f13f051614f3c27eac7ef807802537e0bde2b86fab8517ef9c
- Size of remote file:
- 4.98 kB
- SHA256:
- 6b3129923f6d2ffce5f2eff27178de9dbc893dcc618ddf91ff32deed17500df0
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