The output is very small
example code:
from transformers import pipeline
# load pipeline
ckpt = "google/siglip2-base-patch16-224"
image_classifier = pipeline(model=ckpt, task="zero-shot-image-classification")
# load image and candidate labels
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
candidate_labels = ["2 cats", "a plane", "a remote"]
# run inference
outputs = image_classifier(image, candidate_labels)
print(outputs)
Output: [{'score': 0.00018089247168973088, 'label': 'a remote'}, {'score': 1.4832610759185627e-05, 'label': 'a plane'}, {'score': 1.9581771084631328e-06, 'label': '2 cats'}]
The model-card example assigns url, then passes image to the classifier. In a fresh script, image is undefined; in a notebook, it could still refer to an earlier image. Make the input explicit:
outputs = image_classifier(url, candidate_labels=candidate_labels)
That fixes the variable mismatch; I have not run the image/model inference or verified the resulting ranking.
For the score scale, Transformers 5.18.0's implementation applies sigmoid independently for SigLIP models, then sorts the scores. They do not have to sum to one. Small values alone therefore do not establish an inference error.
Normalizing the three reported scores would still put a remote first. You can check that without downloading the model; save this as check_scores.py and run python3 check_scores.py:
from math import fsum
rows = [
("a remote", 0.00018089247168973088),
("a plane", 1.4832610759185627e-05),
("2 cats", 1.9581771084631328e-06),
]
total = fsum(score for _, score in rows)
rank = lambda xs: [label for label, score in sorted(xs, key=lambda x: -x[1])]
assert rank(rows) == rank([(label, score / total) for label, score in rows])
print(rank(rows))
I ran this arithmetic check on your reported scores; it prints ['a remote', 'a plane', '2 cats']. Renormalizing changes the scale, not the ordering. If the explicit input still gives that unexpected ranking, it needs an inference reproduction with the actual library versions, image and prompts. This arithmetic does not explain or resolve that ranking.
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