Instructions to use tawfikgh/xsum_summary_adapter-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use tawfikgh/xsum_summary_adapter-v1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("gpt2") model.load_adapter("tawfikgh/xsum_summary_adapter-v1", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from tawfikgh/xsum_summary_adapter-v1: direct link, hf CLI and curl.
- Browser
- Download file 154 MB
-
https://huggingface.co/tawfikgh/xsum_summary_adapter-v1/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://tawfikgh/xsum_summary_adapter-v1/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/tawfikgh/xsum_summary_adapter-v1/resolve/main/pytorch_model_head.bin
154 MB
- Xet hash:
- 10337471417c2da8ac2262de9478629dd3c1dec7da5fa7984e3a8c3c65bc6771
- Size of remote file:
- 154 MB
- SHA256:
- 290729219529057c5db80dcb78abd4c62e1e42a303813f09cb2371d5b41d53bc
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