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apple
/
aimv2-large-patch14-224

Image Feature Extraction
Transformers
JAX
Safetensors
MLX
PyTorch
aimv2_vision_model
vision
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

Instructions to use apple/aimv2-large-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use apple/aimv2-large-patch14-224 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="apple/aimv2-large-patch14-224", trust_remote_code=True)
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("apple/aimv2-large-patch14-224", trust_remote_code=True)
    model = AutoModel.from_pretrained("apple/aimv2-large-patch14-224", trust_remote_code=True)
  • MLX

    How to use apple/aimv2-large-patch14-224 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir aimv2-large-patch14-224 apple/aimv2-large-patch14-224
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Fix AIMv2 checkpoint/config compatibility with custom HF code

#7 opened 21 days ago by
tewth

AIMv2 with Llava

#4 opened over 1 year ago by
eliem

Image and Text features

👍 5
2
#3 opened over 1 year ago by
praff1234

How can I get a image embedding, using Avg Pool? Besides, how to set text tokenizer?

1
#2 opened over 1 year ago by
SunnyLee20230607
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