Instructions to use flood/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flood/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flood/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("flood/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08dc7a38401fbcf3328496d0136c3e74f1b81cd669ffcab8639fe72879b54368
- Size of remote file:
- 2.28 GB
- SHA256:
- c2ed6031043647e66dac74628cdb56fca1ec3f86b184a2a40768c482762b1ea0
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