Instructions to use intanm/clickbaitspoiling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use intanm/clickbaitspoiling with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased") model.load_adapter("intanm/clickbaitspoiling", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from intanm/clickbaitspoiling: direct link, hf CLI and curl.
- Browser
- Download file 7.19 MB
-
https://huggingface.co/intanm/clickbaitspoiling/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://intanm/clickbaitspoiling/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/intanm/clickbaitspoiling/resolve/main/pytorch_adapter.bin
7.19 MB
- Xet hash:
- 13b40804122be3ac496b0c9cbb2df7e015d4fa269203873a8987b6ba5401557e
- Size of remote file:
- 7.19 MB
- SHA256:
- c846e16bd9a9d76c3d670766256b7d95dfb3a56315a435de38ab4e202615c2a1
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