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transformers/examples/research_projects/visual_bert
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Sai-Suraj-27 b8e5cd5396
Refactor: Removed un-necessary object base class (#32230) 
* Refactored to remove un-necessary object base class.

* small fix.
2024-07-26 10:33:02 +02:00
..
demo.ipynb
extracting_data.py
modeling_frcnn.py Refactor: Removed un-necessary object base class (#32230) 2024-07-26 10:33:02 +02:00
processing_image.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00
README.md
requirements.txt Bump certifi from 2023.7.22 to 2024.7.4 in /examples/research_projects/visual_bert (#31872) 2024-07-09 22:20:39 +01:00
utils.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00
visualizing_image.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00

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