Instructions to use AdapterHub/roberta-base-pf-newsqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-newsqa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-newsqa", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/roberta-base-pf-newsqa: direct link, hf CLI and curl.
- Browser
- Download file 7.22 kB
-
https://huggingface.co/AdapterHub/roberta-base-pf-newsqa/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-newsqa/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-newsqa/resolve/main/pytorch_model_head.bin
7.22 kB
- Xet hash:
- 7e6f04250adb22c2e89c1a24a084d73ada04fcff38720fb573e9cffcb2d584d8
- Size of remote file:
- 7.22 kB
- SHA256:
- d0ee9b74b7a008493d8ba47c882d994a1b87e71ce599f0f44f1ef06affd9599b
路
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