Instructions to use uhhlt/comp-summarization-distilbart-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/comp-summarization-distilbart-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uhhlt/comp-summarization-distilbart-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("uhhlt/comp-summarization-distilbart-cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05117972d838fc046610dee1f924cd7722a578a5413ec8267cd29cc92c02e048
- Size of remote file:
- 920 MB
- SHA256:
- 2e87a4a5bc3946c7b83419f805ef4f025eea81114709ceed7f60d5b31d4360e3
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