Instructions to use hcy5561/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcy5561/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hcy5561/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("hcy5561/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68dc77cba04d03412e91cd496b0c62eb5f57bcf51b45a54a3feafe0e8cc1153e
- Size of remote file:
- 2.28 GB
- SHA256:
- 1d15ef25628efaf2e31c7803e7b439c7da8400dc9bd7f3049b392b4ef5e8a416
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