Instructions to use AdapterHub/roberta-base-pf-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-rte with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-rte", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/roberta-base-pf-rte: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-rte/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-rte/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/roberta-base-pf-rte/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- cc054a9ce9c2f055e9f31ca782e9c0c2240b41fb1daef43938ee482330aefff3
- Size of remote file:
- 3.59 MB
- SHA256:
- 0be497a6e01b7e1a837130574a0df07c083b86fdea4ddc7d1e0d0564edf89071
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