Instructions to use tclopess/bart_samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tclopess/bart_samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tclopess/bart_samsum") model = AutoModelForSeq2SeqLM.from_pretrained("tclopess/bart_samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 525f0a451415531c35ea8d9a467336b05ec7f5a2d63aba7300eaf78418014708
- Size of remote file:
- 1.63 GB
- SHA256:
- 635694e6d7f8dac94008165582697bffac24f2307a242793495bf44feebe7448
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