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:
- 3a034fa6635835f5f24fcd186413fe7de4eb1ac3d483798e3ec430af5c71ef07
- Size of remote file:
- 4.54 kB
- SHA256:
- d3643409ae7bcb432beecfe3b74c35633a7bf4ada8e07ee1b626efa2fe2d7f4f
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