10 Commits (89b0452171f1d34ff369076a525061daab0e81cc)

Author	SHA1	Message	Date
Ross Wightman	9a51e4ea2e	Add FlexiViT models and weights, refactoring, push more weights ... * push all vision_transformer*.py weights to HF hub * finalize more pretrained tags for pushed weights * refactor pos_embed files and module locations, move some pos embed modules to layers * tweak hf hub helpers to aid bulk uploading and updating	2 years ago
Ross Wightman	656e1776de	Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata	2 years ago
Ross Wightman	6a01101905	Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.	2 years ago
Ross Wightman	d5e7d6b27e	Merge remote-tracking branch 'origin/main' into refactor-imports	2 years ago
Ross Wightman	cda39b35bd	Add a deprecation phase to module re-org	2 years ago
Ross Wightman	927f031293	Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models	2 years ago
Ross Wightman	755570e2d6	Rename _pretrained.py -> pretrained.py, not feasible to change the other files to same scheme without breaking uses	2 years ago
Ross Wightman	72cfa57761	Add ported Tensorflow MaxVit weights. Add a few more CLIP ViT fine-tunes. Tweak some model tag names. Improve model tag name sorting. Update HF hub push config layout.	2 years ago
Ross Wightman	9da7e3a799	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
Ross Wightman	0dadb4a6e9	Initial multi-weight support, handled so old pretraing config handling co-exists with new tags.	2 years ago