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"], )# 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] huggingface-cli download --local-dir aimv2-large-patch14-224-lit apple/aimv2-large-patch14-224-lit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "added_tokens_decoder": { | |
| "49406": { | |
| "content": "<start_of_text>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "49407": { | |
| "content": "<end_of_text>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<start_of_text>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<end_of_text>", | |
| "errors": "replace", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 77, | |
| "pad_token": "<end_of_text>", | |
| "processor_class": "CLIPProcessor", | |
| "tokenizer_class": "CLIPTokenizer", | |
| "unk_token": "<end_of_text>", | |
| "use_fast": true | |
| } | |