RobertBiehl/CLIP-tf2

OpenAI CLIP converted to Tensorflow 2/Keras

33
/ 100
Emerging

This tool helps machine learning engineers and researchers use the powerful OpenAI CLIP model within their TensorFlow 2 and Keras projects. It takes the original CLIP model weights and converts them into a format that can be directly used in TensorFlow. The output is a Keras SavedModel, making it easy to integrate for tasks like image-text understanding or zero-shot classification.

No commits in the last 6 months.

Use this if you are a machine learning engineer or researcher already working with TensorFlow 2 and Keras and need to leverage the capabilities of OpenAI's CLIP model for vision-language tasks.

Not ideal if you are not a developer, or if your primary machine learning framework is PyTorch, as this tool specifically targets TensorFlow 2.

machine-learning-engineering deep-learning computer-vision natural-language-processing model-conversion
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

56

Forks

5

Language

Python

License

MIT

Last pushed

Feb 05, 2023

Commits (30d)

0

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