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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26c5c8b4a9f2650aba98e1894aaac117e2a8bc7f38448a06c986e93033d51742
- Size of remote file:
- 648 MB
- SHA256:
- fa0b84e7a495bf0056c928bda762dd67ec13cb25060295f4ef5eecbf711f8373
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