Audio Classification
Transformers
TensorBoard
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection") model = AutoModelForAudioClassification.from_pretrained("MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee691a27bd515ccc915dbeb93323ba1d1a0bc7ad1f7a3842e5714b99b3d874ef
- Size of remote file:
- 5.24 kB
- SHA256:
- acb4175256c44ab5750f267a46d023ba30cf3e65e64192a5f2016959a8991bf1
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