Instructions to use Cnam-LMSSC/EBEN_forehead_accelerometer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cnam-LMSSC/EBEN_forehead_accelerometer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cnam-LMSSC/EBEN_forehead_accelerometer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -69,6 +69,6 @@ audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.forehead_acceleromete
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audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
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cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz[None, None, :])
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enhanced_audio_16kHz = model(cut_audio_16kHz)
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```
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audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
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cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz[None, None, :])
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enhanced_audio_16kHz, enhanced_speech_decomposed = model(cut_audio_16kHz)
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```
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