mirrors/pytorch-image-models
1
0
Fork 0
mirror of https://github.com/huggingface/pytorch-image-models.git synced 2025-06-03 15:01:08 +08:00
Code Issues Projects Releases Wiki Activity

Add in12k fine-tuned convnext_xxlarge

Browse Source
This commit is contained in:
Ross Wightman 2023-11-03 14:33:54 -07:00
parent 855719fca6
commit d3e83a190f
2 changed files with 5 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -31,6 +31,7 @@
* DINOv2 'register' ViT model weights added
* Add `quickgelu` ViT variants for OpenAI, DFN, MetaCLIP weights that use it (less efficient)
* Improved typing added to ResNet, MobileNet-v3 thanks to [Aryan](https://github.com/a-r-r-o-w)
* ImageNet-12k fine-tuned (from LAION-2B CLIP) `convnext_xxlarge`
* 0.9.9 release
### Oct 20, 2023

4
timm/models/convnext.py
View File

@ -828,6 +828,10 @@ default_cfgs = generate_default_cfgs({
hf_hub_id='timm/',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=11821,
input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0, crop_mode='squash'),
'convnext_xxlarge.clip_laion2b_soup_ft_in12k': _cfg(
hf_hub_id='timm/',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=11821,
input_size=(3, 256, 256), pool_size=(8, 8), crop_pct=1.0),
# CLIP original image tower weights
'convnext_base.clip_laion2b': _cfg(