Instructions to use vinaybabu/NLPSharedTask_InformationExtraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinaybabu/NLPSharedTask_InformationExtraction with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vinaybabu/NLPSharedTask_InformationExtraction", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63f4971e019f993071d29a138121b506d5b56f1d82d925cfbaeae5645186d44c
- Size of remote file:
- 25.7 MB
- SHA256:
- eac190916cfd43c12027eb93cd9cae9c71a3a2102ddd7f0cfd4d0286086bada6
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