Instructions to use AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-large") model.load_adapter("AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer: direct link, hf CLI and curl.
- Browser
- Download file 12.7 MB
-
https://huggingface.co/AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer/resolve/main/pytorch_adapter.bin
12.7 MB
- Xet hash:
- c9b1329d9053e149743062733dce90e3f8308aa3f04bbfdff2f2f8c39d02ae43
- Size of remote file:
- 12.7 MB
- SHA256:
- bc607ce4a3e927807f7c17bf12faffbf92b81e0f7f4bce0170e4a0ae32233bfa
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