Instructions to use longma98/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longma98/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longma98/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("longma98/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6caf722032c63c80bb5455d9b049dfca48d1b2be05d10598c53f5348a18c740e
- Size of remote file:
- 2.28 GB
- SHA256:
- eae4fc9950c3ce305d264ca8efd750b21f738c56d278471ee907b6410eee8d7a
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