Model Details of pegasus-x-base-synthsumm_open-16k
pegasus-x-base-synthsumm_open-16k
This is a text-to-text summarization model fine-tuned from
pegasus-x-base
on a dataset of long documents from various sources/domains and their synthetic summaries.
It performs surprisingly well as a general summarization model for its size. More details, a larger model, and the dataset will be released (
as time permits
).
Usage
It's recommended to use this model with
beam search decoding
. If interested, you can also use the
textsum
util package to have most of this abstracted out for you:
pip install -U textsum
then:
from textsum.summarize import Summarizer
model_name = "BEE-spoke-data/pegasus-x-base-synthsumm_open-16k"
summarizer = Summarizer(model_name) # GPU auto-detected
text = "put the text you don't want to read here"
summary = summarizer.summarize_string(text)
print(summary)
Runs of BEE-spoke-data pegasus-x-base-synthsumm_open-16k on huggingface.co
102
Total runs
-3
24-hour runs
-1
3-day runs
1
7-day runs
12
30-day runs
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