An unmodified duplicate of
openai/clip-vit-base-patch32
, tagged for use with
ANEForge
so the weights load and run directly on the
Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for
the model details. See the original repo for license terms.
Use with ANEForge
# pip install "aneforge[models]"import aneforge as af
clip = af.load_clip("aneforge/clip-vit-base-patch32")
print(clip.classify(image, ["a photo of a cat", "a photo of a dog"])) # image: a PIL.Image; zero-shot (label, prob)
ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
via
huggingface_hub
. See the
docs
and the
paper
.
Runs of aneforge clip-vit-base-patch32 on huggingface.co
163
Total runs
0
24-hour runs
3
3-day runs
8
7-day runs
119
30-day runs
More Information About clip-vit-base-patch32 huggingface.co Model
clip-vit-base-patch32 huggingface.co
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aneforge clip-vit-base-patch32 online free url in huggingface.co:
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