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_model_head.bin from AdapterHub/roberta-base-pf-anli_r3: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-anli_r3/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-anli_r3/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-anli_r3/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 2bf98b00b76bcd6be1064c7e6217955f082caa5b6e9570f9574191f236d01451
- Size of remote file:
- 2.37 MB
- SHA256:
- 15dc61b6880bbfbf3c6a07df406eea211ae3426275b0320726c2459d64c08661
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