Model Card for CLIP ViT B/32 LAION 2B Table of Contents 1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model Model Details Model Description A CLIP ViT B/32 model trained with the LAION 2B English subset of LAION 5B (https://laion.ai/blog/laion 5b/) using OpenCLIP (https://github.com/mlfoundations/open clip). Model training done by Romain Beaumont on the stability.ai cluster. Uses As per the original OpenAI CLIP model card, this model is intended as a research output for research communities. We hope that this model will enable researchers to better understand and explore zero shot, arbitrary image classification. We also hope it can be used for interdisciplinary studies of the potential impact of such model. The OpenAI CLIP paper includes a discussion of potential downstream impacts to provide an example for this sort of analysis. Additionally, the LAION 5B blog (https://laion.ai/blog/laion 5b/) and upcoming paper include additional discussion as it relates specifically to the training dataset. Direct Use Zero shot image classification, image and text retrieval, among others. Downstream Use Image classifica…
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