Awsaf
cc: @fchollet
Noticed it for the first time.
cc: @fchollet @martin-gorner
Sorry @divyashreepathihalli for the delayed response. Actually, due to heavy workload I am unable to take this one. It would be nice if you could assign it to someone else.
That's great. Sadly, I am unable to contribute on this one due to some ongoing workload. It would be great if keras-team could assign it to you.
cc: @divyashreepathihalli
I tried this code for zero-shot classification ```py processed_image = processor.process_images(["cat1.jpg"]) candid_labels = ["man", "dog", "cat"] processed_text, attention_mask = processor.process_texts( [f"Picture of a {x}." for x in candid_labels] ) image_logits,...
In the same kaggle notebook, I've compared results with open-ai CLIP . And open-AI's CLIP works nicely in contrast to KerasCV's CLIP.