Instructions to use AdapterHub/roberta-base-pf-ud_en_ewt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-ud_en_ewt with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-ud_en_ewt", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/roberta-base-pf-ud_en_ewt: direct link, hf CLI and curl.
- Browser
- Download file 92.3 MB
-
https://huggingface.co/AdapterHub/roberta-base-pf-ud_en_ewt/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/roberta-base-pf-ud_en_ewt/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/roberta-base-pf-ud_en_ewt/resolve/main/pytorch_model_head.bin
92.3 MB
- Xet hash:
- faa5a78246c0c0b1af4ed0b4c9bf048972427940828715eb687ce2ab40366b4c
- Size of remote file:
- 92.3 MB
- SHA256:
- b2e7919985e77aad5cb7e93b4d1c717f07373695f3592e5f895f01be64edac0d
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