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unstructured/examples/argilla-summarization
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Roman Isecke b37b4689bc
drop python3.8 (#2372) 
### Description
Remove all uses of python3.8

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Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: rbiseck3 <rbiseck3@users.noreply.github.com>
2024-01-09 23:37:30 +00:00
..
img
docs: example notebooks from community repo (#187)
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.gitignore
docs: example notebooks from community repo (#187)
2023-01-31 10:37:32 -05:00
isw-summarization.ipynb
docs: no more bricks (#1967)
2023-11-02 09:43:26 -05:00
README.md
drop python3.8 (#2372)
2024-01-09 23:37:30 +00:00
requirements.in
Capture section and chapter in the metadata for epubs under epub_section (#1005)
2023-08-12 21:02:06 +00:00
requirements.txt
drop python3.8 (#2372)
2024-01-09 23:37:30 +00:00

README.md

ISW Summarization Example

This directory shows and example of how to use unstructured, argilla, and transformers to train a custom summarization model on Institute for the Study of War (ISW) reports about the was in Ukraine. This example shows how, by combining these three libraries, you can complete a data science project in hours that previously would have taken weeks.

To get started, use the following steps:

  • Ensure you have Python 3.10 or higher installed on your system
  • Create a new Python virtual environment
  • Run pip install -r requirements.txt to install the dependencies
  • Run PYTHONPATH=. jupyter notebook from this directory to launch the notebook

At this point, you'll be able to run the model training notebook.