Inference on the BLIMP dataset is the method of utilizing a pre-trained mannequin to make predictions on new information. The BLIMP dataset is a large-scale dataset of photos and captions, and it’s usually used to coach fashions for picture captioning, visible query answering, and different duties. To do inference on the BLIMP dataset, you’ll need to have a pre-trained mannequin and a set of latest photos. You possibly can then use the mannequin to generate captions or reply questions for the brand new photos.
Inference on the BLIMP dataset may be helpful for quite a lot of duties, resembling:
