Audio Classification
Transformers
Safetensors
English
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection") model = AutoModelForAudioClassification.from_pretrained("MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection/resolve/afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/training_args.bin
- Command line
-
hf download hf://MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection@afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection/resolve/afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/training_args.bin
4.66 kB
- Xet hash:
- ad30cf9727c0952013e6027d0c7e34c3c6e128e4c1226dca39695d35e737c2b3
- Size of remote file:
- 4.66 kB
- SHA256:
- 1ef60a9f0c77b38b73dffda19f54b55ac2666094a315e4644c8f15fc4f11207d
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