Instructions to use AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-base") model.load_adapter("AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer: direct link, hf CLI and curl.
- Browser
- Download file 29.6 MB
-
https://huggingface.co/AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/xlm-roberta-base-zh-wiki_pfeiffer/resolve/main/pytorch_adapter.bin
29.6 MB
- Xet hash:
- 14820c9a82f8346f5bb1bfddf6ffc3783cd9f6af78c46661493817f30b4a729a
- Size of remote file:
- 29.6 MB
- SHA256:
- 78c86fdc54e9b09aba094b9661d6e960df2ebf1c9da3fecfa1e72961aa848a49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.