Zero-Shot Image Classification
Transformers
JAX
Safetensors
MLX
PyTorch
aimv2
feature-extraction
vision
custom_code
Instructions to use apple/aimv2-large-patch14-224-lit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/aimv2-large-patch14-224-lit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="apple/aimv2-large-patch14-224-lit", trust_remote_code=True) pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("apple/aimv2-large-patch14-224-lit", trust_remote_code=True) model = AutoModel.from_pretrained("apple/aimv2-large-patch14-224-lit", trust_remote_code=True, device_map="auto") - MLX
How to use apple/aimv2-large-patch14-224-lit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download apple/aimv2-large-patch14-224-lit --local-dir aimv2-large-patch14-224-lit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download preprocessor_config.json from apple/aimv2-large-patch14-224-lit: direct link, hf CLI and curl.
- Browser
- Download file 504 Bytes
-
https://huggingface.co/apple/aimv2-large-patch14-224-lit/resolve/refs%2Fpr%2F5/preprocessor_config.json
- Command line
-
hf download hf://apple/aimv2-large-patch14-224-lit@refs/pr/5/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/apple/aimv2-large-patch14-224-lit/resolve/refs%2Fpr%2F5/preprocessor_config.json
504 Bytes
| { | |
| "crop_size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "CLIPImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "processor_class": "CLIPProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "shortest_edge": 224 | |
| } | |
| } | |