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Santiago Castro

bryant1410
rwightman's profile picture filevich's profile picture Molbap's profile picture
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https://santi.uy

AI & ML interests

Vision and Language, Humor, Sarcasm.

Recent Activity

reacted to rwightman's post with 🚀 about 1 month ago
Want to validate some hparams or figure out what `timm` model to use before commiting to download or training with a large dataset? Try mini-imagenet: https://huggingface.co/datasets/timm/mini-imagenet I had this sitting on my drive and forgot where I pulled it together from. It's 100 classes of imagenet, 50k train and 10k val images (from ImageNet-1k train set), and 5k test images (from ImageNet-1k val set). 7.4GB instead of > 100GB for the full ImageNet-1k. This ver is not reduced resolution like some other 'mini' versions. Super easy to use with timm train/val scripts, checkout the dataset card. I often check fine-tuning with even smaller datasets like: * https://huggingface.co/datasets/timm/resisc45 * https://huggingface.co/datasets/timm/oxford-iiit-pet But those are a bit small to train any modest size model w/o starting from pretrained weights.
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Organizations

LIT @ UMich's profile picture University of Michigan's profile picture NLP Group, UdelaR, Uruguay's profile picture

Papers 13