Instructions to use AdapterHub/roberta-large-sts_b_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-large-sts_b_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-large") model.load_adapter("AdapterHub/roberta-large-sts_b_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1cf85a09fd7def1fb85ba73a2836f2a1b7a95660145250a0990e168bb70d5d
- Size of remote file:
- 12.7 MB
- SHA256:
- 16fd80e6fdc7470847fd3832d99d9d578557b0337b708cd7556a5700abfb8ef5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.