Instructions to use AdapterHub/roberta-base-pf-anli_r3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-anli_r3 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-anli_r3", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/roberta-base-pf-anli_r3: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-anli_r3/resolve/refs%2Fpr%2F1/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-anli_r3@refs/pr/1/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/roberta-base-pf-anli_r3/resolve/refs%2Fpr%2F1/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 04f7c9e0762a2687f4859f1c84fac41f7a9dcee3c1b0a62c1552db5b081807fb
- Size of remote file:
- 3.59 MB
- SHA256:
- a48ead88e7203b9a29010f69505c8b0596419829e9a2c2d27d7ced472a14ccd0
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