Instructions to use Mapcar/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mapcar/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mapcar/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("Mapcar/pegasus-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 213f4d1e9b7c6d7c5f7fe7a7095c14c2e35027ea1e720447b9203f32ae9acc58
- Size of remote file:
- 2.28 GB
- SHA256:
- e6e41800c467dacccbae3b74c93104aa2f2f79f0fc3708e6ecf92b969cb1822c
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