9 Commits (b6caa356d2dcac2c02bc1c81b9d3ffbae3fc50ad)

Author	SHA1	Message	Date
Ross Wightman	45c048ba13	A few minor fixes and bit more cleanup on the huggingface hub integration.	4 years ago
Ross Wightman	d584e7f617	Support for huggingface hub via create_model and default_cfgs. ... * improve consistency of model creation helper fns * add comments to some of the model helpers * support passing external default_cfgs so they can be sourced from hub	4 years ago
Ross Wightman	231d04e91a	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
Ross Wightman	751b0bba98	Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool	4 years ago
Ross Wightman	88129b2569	Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.	5 years ago
Ross Wightman	43225d110c	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
Ross Wightman	6ca0828166	Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2	5 years ago
Ross Wightman	7b83e67f77	Pass drop connect arg through to EfficientNet models	5 years ago
Ross Wightman	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	5 years ago