sshleifer/distill-pegasus-xsum-16-4
summarization model by sshleifer
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Model card & documentation
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See Docs: here Original TF 1 code here Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019 Maintained by: @sshleifer Task: Summarization The following is copied from the authors' README. We train a pegasus model with sampled gap sentence ratios on both C4 and HugeNews, and stochastically sample important sentences. The updated the results are reported in this table. The "Mixed & Stochastic" model has the following changes: () the numbers of wikihow and bigpatent datasets are not comparable because of change in tokenization and data: The "Mixed & Stochastic" model has the following changes (from…
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Model overview
sshleifer/distill-pegasus-xsum-16-4 is a summarization model repository published by sshleifer on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- summarization
- Library
- transformers
- Recent downloads (30 days)
- 666
- Cumulative likes
- 4
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- PegasusForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2020-10-14T16:16:54.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-29T06:40:14.121Z. Daily imports are snapshots, not real-time monitoring.
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