Instructions to use Daksh1/finetunedSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daksh1/finetunedSummary with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Daksh1/finetunedSummary", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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