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:
- 5120840d045c082846f84e781171af53183b493c4a7d9d2915ac9427ffe60676
- Size of remote file:
- 2.28 GB
- SHA256:
- daf7d89a38f348c48af48fc42f973fd41ee0292014f5c6f4ec3d9d1cbef26e65
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