Instructions to use AdapterHub/bert-base-uncased_sts_mrpc_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-uncased_sts_mrpc_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("AdapterHub/bert-base-uncased_sts_mrpc_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e97ebb47c859e4cf60f9da24ee2f954acc821bc9ba597b3b21ac1fb85600b43
- Size of remote file:
- 3.59 MB
- SHA256:
- a052431cf4f76b24c923f9c029ccb2ba062500e9118c9c07916ebfafa94da3e1
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