Instructions to use charsiu/S-HuBERT-from-simcse-unsup-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/S-HuBERT-from-simcse-unsup-bert with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2SAP processor = AutoProcessor.from_pretrained("charsiu/S-HuBERT-from-simcse-unsup-bert") model = Wav2Vec2SAP.from_pretrained("charsiu/S-HuBERT-from-simcse-unsup-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fd58afc34ce53faed427c3bda729ed49fe72ed78b2c87bdeff6556d1769b6ef
- Size of remote file:
- 380 MB
- SHA256:
- 3a8a4919673d0ad55668a2c81e896366a60db835c4a629d09d36e7672247ab84
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