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google/owlv2-large-patch14
Zero-Shot Object Detection • 0.4B • Updated • 1.78k • 8 -
google/owlv2-base-patch16
Zero-Shot Object Detection • 0.2B • Updated • 15.3k • 29 -
google/owlv2-base-patch16-ensemble
Zero-Shot Object Detection • 0.2B • Updated • 733k • 116 -
google/owlv2-base-patch16-finetuned
Zero-Shot Object Detection • Updated • 524 • 3
Aritra Roy Gosthipaty PRO
ariG23498
AI & ML interests
Deep Representation Learning
Recent Activity
updated
a dataset
3 days ago
model-metadata/trending_models_metadata
updated
a dataset
4 days ago
model-metadata/code_execution_files
updated
a dataset
4 days ago
model-metadata/code_execution_files
Organizations
Deploy models to Spaces and Consume them through an API
All the CLIP models in one place
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openai/clip-vit-base-patch16
Zero-Shot Image Classification • Updated • 2.27M • 145 -
openai/clip-vit-base-patch32
Zero-Shot Image Classification • Updated • 14.3M • 829 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 7.71M • 1.94k -
openai/clip-vit-large-patch14-336
Zero-Shot Image Classification • Updated • 3.07M • 284
Random mistral models that were reduced in size for the TensorFlow port. The link to the porting PR: https://github.com/huggingface/transformers/pull/
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facebook/mask2former-swin-tiny-ade-semantic
Image Segmentation • Updated • 2.65k • • 2 -
facebook/mask2former-swin-tiny-cityscapes-semantic
Image Segmentation • 47.4M • Updated • 2.19k • • 3 -
facebook/mask2former-swin-tiny-coco-instance
Image Segmentation • 47.5M • Updated • 102k • • 11 -
facebook/mask2former-swin-tiny-cityscapes-instance
Image Segmentation • 47.4M • Updated • 101
This is a collection of models to showcase various goodies with the `TimmWrapper`.
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Food Classification
🦀1Food classifier
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Timm + Transformers
😻7Any timm model with the transformers integration
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ariG23498/vit_base_patch16_224.orig_in21k_ft_in1k.ft_food101
Image Classification • Updated • 14 -
ariG23498/vit_base_patch16_224.augreg2_in21k_ft_in1k.ft_food101
Image Classification • Updated • 38
Quantized Diffusion Models useful for inference on a free tier colab notebook.
This collection will hold tiny models that will be used in the test suite of KerasNLP.
All the models for SAM
Place to store everything for our experiments
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google/owlv2-large-patch14
Zero-Shot Object Detection • 0.4B • Updated • 1.78k • 8 -
google/owlv2-base-patch16
Zero-Shot Object Detection • 0.2B • Updated • 15.3k • 29 -
google/owlv2-base-patch16-ensemble
Zero-Shot Object Detection • 0.2B • Updated • 733k • 116 -
google/owlv2-base-patch16-finetuned
Zero-Shot Object Detection • Updated • 524 • 3
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facebook/mask2former-swin-tiny-ade-semantic
Image Segmentation • Updated • 2.65k • • 2 -
facebook/mask2former-swin-tiny-cityscapes-semantic
Image Segmentation • 47.4M • Updated • 2.19k • • 3 -
facebook/mask2former-swin-tiny-coco-instance
Image Segmentation • 47.5M • Updated • 102k • • 11 -
facebook/mask2former-swin-tiny-cityscapes-instance
Image Segmentation • 47.4M • Updated • 101
Deploy models to Spaces and Consume them through an API
This is a collection of models to showcase various goodies with the `TimmWrapper`.
-
Food Classification
🦀1Food classifier
-
Timm + Transformers
😻7Any timm model with the transformers integration
-
ariG23498/vit_base_patch16_224.orig_in21k_ft_in1k.ft_food101
Image Classification • Updated • 14 -
ariG23498/vit_base_patch16_224.augreg2_in21k_ft_in1k.ft_food101
Image Classification • Updated • 38
Quantized Diffusion Models useful for inference on a free tier colab notebook.
This collection will hold tiny models that will be used in the test suite of KerasNLP.
All the CLIP models in one place
-
openai/clip-vit-base-patch16
Zero-Shot Image Classification • Updated • 2.27M • 145 -
openai/clip-vit-base-patch32
Zero-Shot Image Classification • Updated • 14.3M • 829 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 7.71M • 1.94k -
openai/clip-vit-large-patch14-336
Zero-Shot Image Classification • Updated • 3.07M • 284
All the models for SAM
Random mistral models that were reduced in size for the TensorFlow port. The link to the porting PR: https://github.com/huggingface/transformers/pull/
Place to store everything for our experiments