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facebook/convnext-base-224
Image Classification • Updated • 2.66k • • 9 -
tanganke/convnext-base-224_sun397_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 88M • Updated • 41 -
tanganke/convnext-base-224_stanford-cars_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 87.8M • Updated • 36 -
tanganke/convnext-base-224_resisc45_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 87.6M • Updated • 30
Anke Tang
tanganke
AI & ML interests
None yet
Recent Activity
updated
a collection
6 days ago
convnext-base-224
updated
a collection
6 days ago
convnext-base-224
updated
a collection
6 days ago
convnext-base-224
Organizations
Eight image classification tasks are widely used for multi-task model merging. https://tanganke.github.io/fusion_bench/modelpool/clip_vit/
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
image classification datasets that are used in my research.
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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tanganke/clip-vit-base-patch32_sun397
Feature Extraction • 87.5M • Updated • 1.71k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 87.5M • Updated • 1.64k • • 2 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 87.5M • Updated • 1.63k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 87.5M • Updated • 1.83k
base_model = CLIPVisionModel.from_pretrained('openai/clip-vit-base-patch16')
model = PeftModel.from_pretrained(base_model, peft_model_id)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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tanganke/clip-vit-large-patch14_sun397
Feature Extraction • 0.3B • Updated • 364 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 343 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 349 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 352
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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facebook/convnext-base-224
Image Classification • Updated • 2.66k • • 9 -
tanganke/convnext-base-224_sun397_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 88M • Updated • 41 -
tanganke/convnext-base-224_stanford-cars_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 87.8M • Updated • 36 -
tanganke/convnext-base-224_resisc45_sgd_batch-size-64_lr-0.01_steps-4000
Image Classification • 87.6M • Updated • 30
image classification datasets that are used in my research.
Eight image classification tasks are widely used for multi-task model merging. https://tanganke.github.io/fusion_bench/modelpool/clip_vit/
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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tanganke/clip-vit-base-patch32_sun397
Feature Extraction • 87.5M • Updated • 1.71k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 87.5M • Updated • 1.64k • • 2 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 87.5M • Updated • 1.63k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 87.5M • Updated • 1.83k
base_model = CLIPVisionModel.from_pretrained('openai/clip-vit-base-patch16')
model = PeftModel.from_pretrained(base_model, peft_model_id)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
-
tanganke/clip-vit-large-patch14_sun397
Feature Extraction • 0.3B • Updated • 364 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 343 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 349 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 352
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)