transformers/examples/research_projects/visual_bert
dependabot[bot] 147c404fb1
Bump idna from 2.8 to 3.7 in /examples/research_projects/visual_bert (#30201)
Bumps [idna](https://github.com/kjd/idna) from 2.8 to 3.7.
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](https://github.com/kjd/idna/compare/v2.8...v3.7)

---
updated-dependencies:
- dependency-name: idna
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-06-17 16:39:42 +01:00
..
demo.ipynb 🐛 Properly raise RepoNotFoundError when not authenticated (#17651) 2022-06-10 15:41:53 +02:00
extracting_data.py Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
modeling_frcnn.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00
processing_image.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00
README.md Updates the default branch from master to main (#16326) 2022-03-23 03:46:59 -04:00
requirements.txt Bump idna from 2.8 to 3.7 in /examples/research_projects/visual_bert (#30201) 2024-06-17 16:39:42 +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

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