Instructions to use AdapterHub/bert-base-multilingual-cased-es-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-es-wiki_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased") model.load_adapter("AdapterHub/bert-base-multilingual-cased-es-wiki_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-multilingual-cased-es-wiki_pfeiffer: direct link, hf CLI and curl.
- Browser
- Download file 29.6 MB
-
https://huggingface.co/AdapterHub/bert-base-multilingual-cased-es-wiki_pfeiffer/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-multilingual-cased-es-wiki_pfeiffer/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-multilingual-cased-es-wiki_pfeiffer/resolve/main/pytorch_adapter.bin
29.6 MB
- Xet hash:
- 91063ef3ef77867680cac50ea8ec702eecae84d23d25aa315ea8f1988d970b8f
- Size of remote file:
- 29.6 MB
- SHA256:
- 9b2077f78c35ee9b3330bb1c5e1bd6164972c353521f5f6d7cff9426810d3901
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