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
| { | |
| "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 | |
| } | |