Zero Shot Learning, Computer Vision, NLP, Pytorch, Machine Learning.
text features are then normalized. text = tokenizer(classes) with torch.no_grad(), torch.cuda.amp.autocast(): text_features = model.encode_text(text) text_features /= text_features.norm(dim=-1, keepdim=True) Next, the images are preprocessed and encoded using the vision part of the model. The image