Instructions to use lvwerra/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lvwerra/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lvwerra/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("lvwerra/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56eea1030d3f1d240ae76293b5430d81f2f576e9ea3e90c0f49658c07b8c9148
- Size of remote file:
- 2.86 kB
- SHA256:
- 8d62725a19d5a43a4045322b8cf1661fe4fbc1f31be342815091d6565aa4428a
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