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Generate realistic Instagram captions using transformers ๐Ÿค—

License: Apache License 2.0

Python 100.00%
gpt-2 huggingface instagram language-models nlp transformers

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hugging-captions's Issues

Add Tests

  • Some test for download.py have already been implemented
  • Not sure if it is even worth the effort of trying to test any other functions

Docs

  • Add command line argument details to DOCS.md

Rank the captions

From the README:

"Some of the generated captions are going to be ugly. Some of the generated captions are going to be really good but a word or two simply does not make sense. This is expected no matter how much the data, both training and generated, is cleaned."

Why don't you simply use something such as lm-scorer to sort the captions according to their score? In this way nonsense captions will be pushed to the bottom of /Hugging-Captions/text/generated_text/<tag>_gen.txt.

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