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timm/vit_base_patch16_clip_224.openai

Image Feature Extraction·timm· 91.8K· 12
timm apache-2.0 Image Feature Extraction arxiv:2103.00020arxiv:1908.04913license:apache-2.0region:us

Model Details The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like CLIP, researchers will first need to carefully stu

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# pull & run locally
pip install mlforge-sdk && mlforge pull timm/vit_base_patch16_clip_224.openai

Model details

Task
Image Feature Extraction
Provider
timm
Framework
timm
Size
1.7 GB
License
apache-2.0
Downloads
91.8K
Likes
12
Paper
arXiv:2103.00020
Updated
2025-01-21

About timm/vit_base_patch16_clip_224.openai

Model Details The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like CLIP, researchers will first need to carefully study their capabilities in relation to the specific context they’re being deployed within.

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