Instructions to use AdapterHub/roberta-base-pf-social_i_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-social_i_qa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-social_i_qa", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/roberta-base-pf-social_i_qa: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-social_i_qa/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-social_i_qa/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-social_i_qa/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 863367bf4816bcc9a82b4fa3c1903d4c592941891c8710304c89298c01eafc92
- Size of remote file:
- 2.37 MB
- SHA256:
- b0502fa7d07b86e3d1041f64a5b6b990634c9caefc02feed94cc34116c4a5c7d
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