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_adapter.bin from AdapterHub/roberta-base-pf-newsqa: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-newsqa/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-newsqa/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/roberta-base-pf-newsqa/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- bdc53bfcd1167ff7617eb3649a95b4c923477d7898187d5ed38dc12fa315eb0d
- Size of remote file:
- 3.59 MB
- SHA256:
- 0337d88d31ea5ad0ceff1f3f5f81cac01760f36a108222ceb84e6e2477cd821b
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.