Instructions to use sujayC66/bart_samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujayC66/bart_samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sujayC66/bart_samsum") model = AutoModelForSeq2SeqLM.from_pretrained("sujayC66/bart_samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e5eeb984a363015ab6d6fd9abba73e2dff5c9ca8f934a2d4f9a249352da782e
- Size of remote file:
- 4.86 kB
- SHA256:
- 13561db4c7b5cc7765a3a7dd4d220aa69442bd16bb14a6d357dfb4eea9c44d2f
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