CLIP ViT-B/32 — vision encoder only (fp16)

The image encoder and visual projection of openai/clip-vit-base-patch32, saved on its own in half precision (176 MB instead of 605 MB). Weights are unchanged apart from the precision; image-to-image cosine similarities match the original within ~0.0003.

Used by SnapBuy AI to rank shopping listings by visual similarity in a size-limited serverless function.

from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor

model = CLIPVisionModelWithProjection.from_pretrained(
    "kunalkanaujiya/clip-vit-base-patch32-vision"
).float()
processor = CLIPImageProcessor.from_pretrained("kunalkanaujiya/clip-vit-base-patch32-vision")
embeddings = model(**processor(images=image, return_tensors="pt")).image_embeds

Original model by OpenAI, released under the MIT license. See the original model card for intended uses and limitations.

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