Instructions to use souradeepdutta/bart-base-summarizer-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use souradeepdutta/bart-base-summarizer-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("souradeepdutta/bart-base-summarizer-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("souradeepdutta/bart-base-summarizer-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 043b662e7d77ac7c73e1787587d9a3df07149aebb59e3db826bcdeefac07d241
- Size of remote file:
- 5.5 kB
- SHA256:
- c61f26e8efeeff516ba81445d16ea8e19b01a9868a2654e6a8160bc50dbbad26
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