Instructions to use AdapterHub/roberta-base-pf-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-art with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-art", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/roberta-base-pf-art: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-art/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-art/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-art/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 1ca4522866f9a599abd6ee92e76d15b44ab64bbc0d3d141f6f0de4babc42a09f
- Size of remote file:
- 2.37 MB
- SHA256:
- 07b9150522eb57ebc2a37075b49dead409ed7e4c578ca28ce30b6f9727100d9c
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