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16 lines
749 B
Markdown
16 lines
749 B
Markdown
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## ISW Summarization Example
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This directory shows and example of how to use `unstructured`, `argilla`, and `transformers`
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to train a custom summarization model on Institute for the Study of War (ISW) reports
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about the was in Ukraine. This example shows how, by combining these three libraries, you can
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complete a data science project in hours that previously would have taken weeks.
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To get started, use the following steps:
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- Ensure you have Python 3.8 or higher installed on your system
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- Create a new Python virtual enviornment
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- Run `pip install -r requirements.txt` to install the dependencies
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- Run `PYTHONPATH=. jupyter notebook` from this directory to launch the notebook
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At this point, you'll be able to run the model training notebook.
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