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Hello, it's great to see your achievements. I've been working with large CV models similar to Yolo-world and Grounding Dino, training them on my own dataset to obtain pre-trained files. I'd like to know how I can derive pre-trained files with relatively smaller model parameters while still retaining the Zero-Shot detection capability of the models.
The text was updated successfully, but these errors were encountered:
Hello, it's great to see your achievements. I've been working with large CV models similar to Yolo-world and Grounding Dino, training them on my own dataset to obtain pre-trained files. I'd like to know how I can derive pre-trained files with relatively smaller model parameters while still retaining the Zero-Shot detection capability of the models.
The text was updated successfully, but these errors were encountered: