Instructions to use sarnab/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarnab/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sarnab/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("sarnab/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8850a4c165a8805a508ab4eb395d948a530a9cbb556a7207bc317ff4e3ed6c15
- Size of remote file:
- 2.28 GB
- SHA256:
- 79183122d812c4c425e3896f73549dab9765191cc853df3ca3ccbc3cac7e86db
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