card: add the aneforge[models] install line to the snippet

5f58481 verified about 1 month ago

1.02 kB

library_name: aneforge
license: apache-2.0
base_model: google/vit-base-patch16-224
pipeline_tag: image-classification
tags:
  - aneforge
  - apple-neural-engine

ViT-Base (patch16-224) (ANEForge)

An unmodified duplicate of google/vit-base-patch16-224, 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. Licensed apache-2.0 from the source.

Use with ANEForge

# pip install "aneforge[models]"
import aneforge as af

vit = af.load_vit("aneforge/vit-base-patch16-224")
print(vit.classify(image))          # top-k (label, logit)

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.