Instructions to use HHousen/distil-led-large-cnn-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HHousen/distil-led-large-cnn-16384 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HHousen/distil-led-large-cnn-16384") model = AutoModelForSeq2SeqLM.from_pretrained("HHousen/distil-led-large-cnn-16384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ea98cad1983ad195dfe015b953eb6d66952c87743685e02d1c7eb7013fa6c9
- Size of remote file:
- 1.29 GB
- SHA256:
- 2b469aa58f9c725e2e99564ae1b0787dfea700fb1a75ebee459eab87bf346121
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