Instructions to use AdapterHub/xmod-base-lv_LV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/xmod-base-lv_LV with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("AdapterHub/xmod-base") model.load_adapter("AdapterHub/xmod-base-lv_LV", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/xmod-base-lv_LV: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/AdapterHub/xmod-base-lv_LV/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/xmod-base-lv_LV/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/xmod-base-lv_LV/resolve/main/pytorch_adapter.bin
28.4 MB
- Xet hash:
- e28b3d12474818c582b4e82b78a08778186c59da463a880885a9bbf21add9fc2
- Size of remote file:
- 28.4 MB
- SHA256:
- cb258ff0e8ca3159d8403562df12ab01ffa8cde38cae3e04b61e094e80be805a
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