Instructions to use Bagus/hubert_xlarge_emodb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bagus/hubert_xlarge_emodb with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Bagus/hubert_xlarge_emodb") model = AutoModel.from_pretrained("Bagus/hubert_xlarge_emodb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e8bb32e413022170e8a37b44379893956416ca08320bba02fa25b1bb318f793
- Size of remote file:
- 3.86 GB
- SHA256:
- 1949ec4c46be7c7c9c464eb44364c2a639d58eb0764a25e2fd475c1e7a946ece
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