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:
- 3d9e594de3dd1b2cfd895bef3b6a0a92975dcd814d99dd4b3708c48983ef6024
- Size of remote file:
- 7.71 kB
- SHA256:
- 69d313e21a10cb3f2446cfae1bd1f2cec414016a660ca0e70d0fd929d95670bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.