Instructions to use z-uo/led-base-qasper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-uo/led-base-qasper with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("z-uo/led-base-qasper", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966d8fd29be5bc281c4d60fa27fc585e66e039063479370c90b2e9eb93a24d3a
- Size of remote file:
- 1.33 kB
- SHA256:
- 1f6560a98089f0e4b90b63cad8ba699f51ae4acba0ddb920a2597a06c608840a
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