Instructions to use AdapterHub/gpt2_sts_mrpc_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/gpt2_sts_mrpc_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("gpt2") model.load_adapter("AdapterHub/gpt2_sts_mrpc_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567424e76c295f1605662404bd800f9163347aa5071c0736d845f5c4c2ae5b25
- Size of remote file:
- 3.59 MB
- SHA256:
- d8a258d28918ce7a423006c86610226b52841dbf6633808610daa9069f1a0432
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.