Instructions to use sujayC66/pegasus-summarization_longshort_text_150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujayC66/pegasus-summarization_longshort_text_150 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sujayC66/pegasus-summarization_longshort_text_150") model = AutoModelForSeq2SeqLM.from_pretrained("sujayC66/pegasus-summarization_longshort_text_150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1459654df04c99572dd679ad24e2b25b870f39f9377e928c57fed3c988d93155
- Size of remote file:
- 4.92 kB
- SHA256:
- 1cbfc337c3e75cea8cb6890109791e8341fea20fc4cf9d21886785c0c2501b5a
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