Instructions to use AdapterHub/roberta-base-qqp_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-qqp_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-qqp_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/roberta-base-qqp_pfeiffer: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/roberta-base-qqp_pfeiffer/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-qqp_pfeiffer/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/roberta-base-qqp_pfeiffer/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 993bd1db8ca1bc432a286e9819f8311fb92f0638641c579988d44ede1ff2e7f0
- Size of remote file:
- 3.59 MB
- SHA256:
- 49d0e0301adc13998fa33e17697a65ff63ba47e422ed4b087529e105b4bdd593
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