Instructions to use facebook/audioseal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AudioSeal
How to use facebook/audioseal with AudioSeal:
# Watermark Generator from audioseal import AudioSeal model = AudioSeal.load_generator("facebook/audioseal") # pass a tensor (tensor_wav) of shape (batch, channels, samples) and a sample rate wav, sr = tensor_wav, 16000 watermark = model.get_watermark(wav, sr) watermarked_audio = wav + watermark# Watermark Detector from audioseal import AudioSeal detector = AudioSeal.load_detector("facebook/audioseal") result, message = detector.detect_watermark(watermarked_audio, sr) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79f3134f8b6600bbe1e24ad684a5e2ce2befee3c84780ded6fcd90bd385b5fc6
- Size of remote file:
- 58.8 MB
- SHA256:
- 7a845b5fbe9364a63a3909d8ab3fe064d13a76ae4c2e983573e08c69b7b51748
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