Instructions to use cogsci13/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogsci13/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cogsci13/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("cogsci13/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bb4e235f5b899654afb857dff9d13af7fb328da89ae1a4acccefb6ded253ba9
- Size of remote file:
- 2.28 GB
- SHA256:
- f8d441d604ca7fb9a3fa7bd4ed51db1bd3d8150fed65d4304d37fbad370c0401
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.