Instructions to use vinaybabu/NLPSharedTask_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinaybabu/NLPSharedTask_Summarization with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vinaybabu/NLPSharedTask_Summarization", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0709fb6910a4fefd31fc8d698bfbbd92df8f3d18d98921ed76786248dadf00be
- Size of remote file:
- 25.7 MB
- SHA256:
- 757e8d07c53f9cbaf59848f5021cc5ac50352ba07be1ff3e3d4780e4ba1ce9a0
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