Instructions to use aneforge/clip-vit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ANEForge
How to use aneforge/clip-vit-base-patch32 with ANEForge:
# Run this model on the Apple Neural Engine, without CoreML. import aneforge as af clip = af.load_clip("aneforge/clip-vit-base-patch32") labels = clip.classify(image, ["a photo of a cat", "a photo of a dog"]) # image: a PIL.Image; zero-shot (label, prob) - Notebooks
- Google Colab
- Kaggle
File size: 316 Bytes
3f3e1c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"crop_size": 224,
"do_center_crop": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "CLIPFeatureExtractor",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"resample": 3,
"size": 224
}
|