Instructions to use AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-base") model.load_adapter("AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/m2qa-xlm-roberta-base-mad-x-2-german/resolve/main/pytorch_adapter.bin
28.4 MB
- Xet hash:
- 1efc1fccc61e6c97e7fd604cce962ca0bfaacb1a520518582a0212862b7482f0
- Size of remote file:
- 28.4 MB
- SHA256:
- 2a6749711e2d29d1a2751f139fd49966e189181d2593f2e3563c984bde4abfab
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