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_model_head.bin from AdapterHub/roberta-base-pf-rte: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-rte/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-rte/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-rte/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 676af27bd24ee8c2d79e7a6da7f5884c6e2c49e1c6449d1912376a247c01ed67
- Size of remote file:
- 2.37 MB
- SHA256:
- b9c015eff54e66e357ed8ecb2050f41a07edace102ddce79521b526e21429ef3
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