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OFA (Open-domain Feature-based Architecture) is an open-source, unified sequence-to-sequence learning framework developed by Open-domain Feature-based Architecture System (OFA-Sys).
It was released in ICML 2022[1].
OFA is designed to unify modalities and tasks such as:
o image captioning
o VQA, visual grounding
o text-to-image generation
o text classification
o text generation
o image classification
It provides step-by-step instructions for pretraining and finetuning with checkpoints available from both official repository and Hugging Face. [2]
OFA also provides online demos for interactive experience with its pretrained and finetuned models. [3]
Furthermore, it offers Colab notebooks to understand the procedures better. OFA is even more powerful with the release of MuE (Multi-modal Embeddings) which accelerates OFA with little performance degradation. [1]
It also provides OFA-OCR for Chinese text recognition [1] and MMSpeech, an ASR pre-training method based on OFA. [1]
Moreover, a Chinese version of OFA is released. [1]
References:
[1] https://github.com/OFA-Sys/OFA