Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

LiT training code #220

Open
ayyar opened this issue Jul 31, 2022 · 1 comment
Open

LiT training code #220

ayyar opened this issue Jul 31, 2022 · 1 comment

Comments

@ayyar
Copy link

ayyar commented Jul 31, 2022

Is there code to train or fine tune LiT models somwhere?

Notably, this colab just has code to use one of the existing models.
https://colab.research.google.com/github/google-research/vision_transformer/blob/main/lit.ipynb

@HuangChiEn
Copy link

Is there code to train or fine tune LiT models somwhere?

Notably, this colab just has code to use one of the existing models. https://colab.research.google.com/github/google-research/vision_transformer/blob/main/lit.ipynb

I'm also looking for the training code...orz, seems not really well-documented

copybara-service bot pushed a commit that referenced this issue Jan 25, 2023
See also issue #220.

PiperOrigin-RevId: 504480062
copybara-service bot pushed a commit that referenced this issue Jan 25, 2023
See also issue #220.

PiperOrigin-RevId: 504480062
copybara-service bot pushed a commit that referenced this issue Jan 25, 2023
See also issue #220.

PiperOrigin-RevId: 504480062
copybara-service bot pushed a commit that referenced this issue Jan 25, 2023
See also issue #220.

PiperOrigin-RevId: 504488297
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants