unilm
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dit-base-224-p16-500k-62d53a.pth, dit-large-224-p16-500k-d7a2fb.pth models
In DiT readme (https://github.com/microsoft/unilm/blob/master/dit/README.md) there are links to checkpoints and fine-tunes:
March 2022: release pre-trained checkpoints and fine-tuning checkpoints & codes (DiT-base and DiT-large)
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Fine-tunes are ok - I can load it into "object_detection" models. But pre-trained checkpoints - what model are they for? Their size is twice larger than any object detection model
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What checkpoints should I take to fine-tune "object_detection"?