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
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- **Language:** French
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- **License:** MIT
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- **Training dataset:** `speech_clean` subset of [Cnam-LMSSC/vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox) (see [VibraVox paper on arXiV](https://arxiv.org/abs/2407.11828))
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- **Samplerate for usage:** 16kHz
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## Overview
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- **Language:** French
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- **License:** MIT
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- **Training dataset:** `speech_clean` subset of [Cnam-LMSSC/vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox) (see [VibraVox paper on arXiV](https://arxiv.org/abs/2407.11828))
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- **Testing dataset:** `speech_clean` subset of [Cnam-LMSSC/vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox)
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- **Samplerate for usage:** 16kHz
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## Overview
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