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_model_head.bin from intanm/clickbaitspoiling: direct link, hf CLI and curl.
- Browser
- Download file 7.71 kB
-
https://huggingface.co/intanm/clickbaitspoiling/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://intanm/clickbaitspoiling/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/intanm/clickbaitspoiling/resolve/main/pytorch_model_head.bin
7.71 kB
- Xet hash:
- 8fbcf924046e7403100a0869e1b794d5669651c9c3376635becb752fe3dc8441
- Size of remote file:
- 7.71 kB
- SHA256:
- 795e3e1c62b1c8fb0e1290f69165751926a0c97627a6701ff39dd645c2a913e3
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