Instructions to use AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased") model.load_adapter("AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer: direct link, hf CLI and curl.
- Browser
- Download file 370 MB
-
https://huggingface.co/AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/bert-base-multilingual-cased_bh_wiki_pfeiffer/resolve/main/pytorch_model_head.bin
370 MB
- Xet hash:
- 44d2adfbf29c220c6e35a14027350c8502e77329922428e0c2977799452c2e1e
- Size of remote file:
- 370 MB
- SHA256:
- 3d09a98653f7eed8dc6fb7f07914431838078dcef2ab0ee384f230f62587a838
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