pipeline("summarization") is extractive vs abstractive?

[km5ar]

System Info

pipeline("summarization") is extractive vs abstractive?

use bart in pytorch

summarizer = pipeline("summarization") summarizer("An apple a day, keeps the doctor away", min_length=5, max_length=20)

use t5 in tf

summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", framework="tf") summarizer("An apple a day, keeps the doctor away", min_length=5, max_length=20)

Who can help?

No response

Information

• [X] The official example scripts
• [ ] My own modified scripts

Tasks

• [ ] An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• [ ] My own task or dataset (give details below)

Reproduction

use bart in pytorch

summarizer = pipeline("summarization") summarizer("An apple a day, keeps the doctor away", min_length=5, max_length=20)

use t5 in tf

summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", framework="tf") summarizer("An apple a day, keeps the doctor away", min_length=5, max_length=20)

Expected behavior

pipeline("summarization") is extractive vs abstractive? there is no mention about it on the official documentation

[sgugger]

Please use the forums for such questions as we keep issues for bugs and feature requests only.

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