Instructions to use eja67/MBIAS_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eja67/MBIAS_adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eja67/MBIAS_adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ff2bb984a64557cf1211330e527cb28ca9c714c6a13fa4e0f219fbedd2bc061
- Size of remote file:
- 5.78 kB
- SHA256:
- 56899804f80d833a657ce21f123190e5a5cfc9f99ea3062601da8b33840a5072
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