Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

apple
/
DFN-public

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files Files and versions
xet
Community
5

Instructions to use apple/DFN-public with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use apple/DFN-public with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="apple/DFN-public")
    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, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("apple/DFN-public")
    model = AutoModelForZeroShotImageClassification.from_pretrained("apple/DFN-public")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Loading the processor?

#5 opened 17 days ago by
ryanramos

Remove outdated license fields from metadata

#4 opened 9 months ago by
pcuenq

Adding `safetensors` variant of this model

#3 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs