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 test_results.json from MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection/resolve/afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/test_results.json
- Command line
-
hf download hf://MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection@afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/test_results.json
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curl -L -o test_results.json https://huggingface.co/MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection/resolve/afd7436a7205ebd7c9ae22d46bbbc6f4f04f85b5/test_results.json
320 Bytes
| { | |
| "Test_accuracy": 0.9127700492721479, | |
| "Test_f1": 0.9490780955502744, | |
| "Test_loss": 0.6264140009880066, | |
| "Test_precision": 0.9958726009493017, | |
| "Test_recall": 0.9064838295607527, | |
| "Test_runtime": 2422.3743, | |
| "Test_samples_per_second": 29.408, | |
| "Test_steps_per_second": 3.676, | |
| "epoch": 3.0 | |
| } |