Instructions to use MelodyMachine/Deepfake-audio-detection-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MelodyMachine/Deepfake-audio-detection-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MelodyMachine/Deepfake-audio-detection-V2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("MelodyMachine/Deepfake-audio-detection-V2") model = AutoModelForAudioClassification.from_pretrained("MelodyMachine/Deepfake-audio-detection-V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a99e161853cdfd956f3dfb5410cf416f67badbe5ac39acc14c4c2ca7b49c9b4a
- Size of remote file:
- 5.18 kB
- SHA256:
- bd510614d7665c56a341d9e306c4baa816023771f32f7b900c2a947e42fc02f3
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