Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Generate captions for images, classify text, and perform various tasks using a unified AI model that supports multiple languages.
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Free · no card · unsubscribe anytimeOfficial repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
OFA has 2.6k stars on GitHub. It has been forked 248 times. OFA is written mainly in Python. It has been in active development since 2022. OFA is available under the Apache-2.0 license. Its main topics are chinese, image-captioning, multimodal, pretrained-models.
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
OFA is an open-source project. It is released under the Apache-2.0 license.
Yes. OFA is free and open source — you can use, modify and self-host it.
OFA is available under the Apache-2.0 license.
OFA is written mainly in Python.
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