Skip to content

Add mobileclip2 encoder weights #2560

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 1, 2025
Merged

Add mobileclip2 encoder weights #2560

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
39 changes: 39 additions & 0 deletions timm/models/vision_transformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1919,6 +1919,31 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
notes=('natively QuickGELU, use quickgelu model variant for original results',),
crop_pct=1.0, input_size=(3, 378, 378), num_classes=1024),

'vit_large_patch14_clip_224.metaclip2_worldwide': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
notes=('natively QuickGELU, use quickgelu model variant for original results',),
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=768),
'vit_huge_patch14_clip_224.metaclip2_worldwide': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
notes=('natively QuickGELU, use quickgelu model variant for original results',),
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=1024),
'vit_huge_patch14_clip_378.metaclip2_worldwide': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
input_size=(3, 378, 378), crop_pct=1.0, crop_mode='squash', num_classes=1024),
'vit_gigantic_patch14_clip_224.metaclip2_worldwide': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=1280),
'vit_gigantic_patch14_clip_378.metaclip2_worldwide': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
input_size=(3, 378, 378), crop_pct=1.0, crop_mode='squash', num_classes=1280),

'vit_base_patch32_clip_224.metaclip_2pt5b': _cfg(
hf_hub_id='timm/',
license='cc-by-nc-4.0',
Expand Down Expand Up @@ -3178,6 +3203,20 @@ def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionT
return model


@register_model
def vit_gigantic_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" ViT-bigG model (ViT-G/14) from `Scaling Vision Transformers` - https://arxiv.org/abs/2106.04560
Pretrained weights from CLIP image tower.
"""
model_args = dict(
patch_size=14, embed_dim=1664, mlp_ratio=64/13, depth=48, num_heads=16, pre_norm=True,
norm_layer=partial(LayerNorm, eps=1e-5),
)
model = _create_vision_transformer(
'vit_gigantic_patch14_clip_378', pretrained=pretrained, **dict(model_args, **kwargs))
return model


@register_model
def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
""" ViT-B/32 CLIP image tower @ 224x224
Expand Down