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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("z-uo/led-base-qasper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.tar.gz from z-uo/led-base-qasper: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/z-uo/led-base-qasper/resolve/main/model.tar.gz
- Command line
-
hf download hf://z-uo/led-base-qasper/model.tar.gz
-
curl -L -o model.tar.gz https://huggingface.co/z-uo/led-base-qasper/resolve/main/model.tar.gz
599 MB
- Xet hash:
- 25d4cf1d1de20784fb36974aa0cd009b9b87362f30fde7ed075a0b9769997a9a
- Size of remote file:
- 599 MB
- SHA256:
- 5d7fbdcd2b4729878067494e72f3e3b9f1f58fc3949bb0020014da3119431b42
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