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transformers/examples/research_projects/visual_bert
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Lysandre Debut 7732d0fe7a
Upgrade black to version ~=22.0 (#15565) 
* Upgrade black to version ~=22.0

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* Fix code
2022-02-09 09:28:57 -05:00
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demo.ipynb upgrade sentencepiece version (#13564) 2021-09-15 15:25:03 +02:00
extracting_data.py Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00
modeling_frcnn.py Upgrade black to version ~=22.0 (#15565) 2022-02-09 09:28:57 -05:00
processing_image.py Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00
README.md Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00
requirements.txt Bump notebook in /examples/research_projects/visual_bert (#15368) 2022-01-27 14:45:58 -05:00
utils.py Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00
visualizing_image.py Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00

README.md

VisualBERT Demo

This demo shows usage of VisualBERT VQA model and is adapted from LXMERT demo present here.

  1. make a virtualenv: virtualenv venv and activate source venv/bin/activate
  2. install reqs: pip install -r ./requirements.txt
  3. usage is as shown in demo.ipynb