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Add examples based on ViT #169
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@dacorvo I can work on this one. I've been contributing to the |
This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days. |
This issue was closed because it has been stalled for 5 days with no activity. |
This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days. |
@dacorvo I would like to work on this |
@mattiadg sure: feel free to select a model and create an example. |
Oh but I see now there are already 3 examples under |
@mattiadg yes a whisper example would be awesome |
This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days. |
This issue was closed because it has been stalled for 5 days with no activity. |
@dacorvo I am working on adding a ViT example using the oxford Pets dataset. Is that a good classification example? |
Nice ! Looking forward to see your example. When submitting your pull-request, please do not forget to use conventional commits to make it easier to review. |
I made a PR. |
Yes, line 168 should be modified to support |
Yes, I can do that. But do you think I should create a new PR for this or should I commit in the same PR? |
Do it in the same pull-request, but in a separate commit. They are not squashed when merging so it will appear as a stand-alone change. |
I have made the change and committed. Is test case necessary for the change? |
This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days. |
Vision Transformers should be supported out-of-the-box by
quanto
.The goal of this issue is to add some examples under
examples/vision
.At the very minimum, there should be a classification example, using a relatively small dataset so that people can rerun it locally without downloading gigabytes of images (imagenette maybe ?).
An image detection example would also be nice if possible, but maybe it requires too much code.
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