Instructions to use cataluna84/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cataluna84/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cataluna84/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("cataluna84/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cataluna84/pegasus-samsum: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/cataluna84/pegasus-samsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cataluna84/pegasus-samsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cataluna84/pegasus-samsum/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 5418e3fcf9a50adca4bfc9344cf479ef3d512c3daa7ab8e878f2363af2a98666
- Size of remote file:
- 2.28 GB
- SHA256:
- 9000f6ac2b36650c188a15f63b09712007c0647873dce164b36ccd4e3475f4c9
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