CLIP (ResNet-50)

Parameters

88.6M

Published

Jan 5, 2021

CLIP (ResNet-50) is an AI model developed by OpenAI (United States), first published in January 2021. It works in the multimodal, vision, language and video domain, on tasks such as zero-shot image classification, character recognition (ocr) and video description.

Epoch AI has no training-compute estimate for this model. The model has 88,600,000 parameters. It was trained on roughly 400M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 48,743 citations. Epoch AI rates the confidence of this record as likely.

Full record

Organization: OpenAI
Country of organization: United States
Domain: Multimodal, Vision, Language, Video
Task: Zero-shot image classification, Character recognition (OCR), Video description
Parameters: 88,600,000
Dataset size: 400M
Numerical format: FP16
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 48,743
Epoch confidence: Likely