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:
- b86b28d8b25e04fd3799af3e66304031338700ab4fbe99fb20334faa004aac0f
- Size of remote file:
- 1.34 kB
- SHA256:
- 8a5c92693d05fe61640585e91b1cb4d4921b1920f56bb1808f84045f3143f486
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