A CLIP (Contrastive Language-Image Pre-training) ViT-B/32 model trained on Conceptual Captions 12M, Conceptual Captions 3M, and Shutterstock 15M.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model is a DFN trained on publicly available data.
@article{fang2023data,
title={Data Filtering Networks},
author={Fang, Alex and Jose, Albin Madappally and Jain, Amit and Schmidt, Ludwig and Toshev, Alexander and Shankar, Vaishaal},
journal={arXiv preprint arXiv:2309.17425},
year={2023}
}
Runs of apple DFN-public on huggingface.co
53
Total runs
-1
24-hour runs
-12
3-day runs
-1.7K
7-day runs
-1.7K
30-day runs
More Information About DFN-public huggingface.co Model
DFN-public huggingface.co is an AI model on huggingface.co that provides DFN-public's model effect (), which can be used instantly with this apple DFN-public model. huggingface.co supports a free trial of the DFN-public model, and also provides paid use of the DFN-public. Support call DFN-public model through api, including Node.js, Python, http.
DFN-public huggingface.co is an online trial and call api platform, which integrates DFN-public's modeling effects, including api services, and provides a free online trial of DFN-public, you can try DFN-public online for free by clicking the link below.
apple DFN-public online free url in huggingface.co:
DFN-public is an open source model from GitHub that offers a free installation service, and any user can find DFN-public on GitHub to install. At the same time, huggingface.co provides the effect of DFN-public install, users can directly use DFN-public installed effect in huggingface.co for debugging and trial. It also supports api for free installation.