Instructions to use AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased") model.load_adapter("AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu: direct link, hf CLI and curl.
- Browser
- Download file 29.6 MB
-
https://huggingface.co/AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-multilingual-cased-cdo-wiki_pfeiffer_relu/resolve/main/pytorch_adapter.bin
29.6 MB
- Xet hash:
- 508c54eb3231dcdc13a2fdbc8ddca68e8704c559d8b3e88a687017d74bd881db
- Size of remote file:
- 29.6 MB
- SHA256:
- 361dd7ff4b93a6a247c1b333d62d3e65d9f78d316d814229229103af29a985c1
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