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TheLitttleThings
/
ArchDaily

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files Files and versions
xet
Community
1

Instructions to use TheLitttleThings/ArchDaily with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheLitttleThings/ArchDaily with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="TheLitttleThings/ArchDaily")
    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("TheLitttleThings/ArchDaily")
    model = AutoModelForZeroShotImageClassification.from_pretrained("TheLitttleThings/ArchDaily", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ArchDaily
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  • 2 contributors
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
ba58c06 verified over 1 year ago
  • .gitattributes
    1.4 kB
    Adding `safetensors` variant of this model over 1 year ago
  • config.json
    4.63 kB
    model trained about 4 years ago
  • model.safetensors
    788 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • optimizer.pt
    1.58 GB
    xet
    model trained about 4 years ago
  • pytorch_model.bin
    788 MB
    xet
    model trained about 4 years ago
  • rng_state.pth
    14.5 kB
    xet
    model trained about 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    model trained about 4 years ago
  • trainer_state.json
    12.5 kB
    model trained about 4 years ago
  • training_args.bin
    3.31 kB
    xet
    model trained about 4 years ago