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wkcn
/
TinyCLIP-ViT-40M-32-Text-19M-LAION400M

Zero-Shot Image Classification
Transformers
PyTorch
Safetensors
clip
tinyclip
Model card Files Files and versions
xet
Community
2

Instructions to use wkcn/TinyCLIP-ViT-40M-32-Text-19M-LAION400M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wkcn/TinyCLIP-ViT-40M-32-Text-19M-LAION400M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="wkcn/TinyCLIP-ViT-40M-32-Text-19M-LAION400M")
    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("wkcn/TinyCLIP-ViT-40M-32-Text-19M-LAION400M")
    model = AutoModelForZeroShotImageClassification.from_pretrained("wkcn/TinyCLIP-ViT-40M-32-Text-19M-LAION400M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TinyCLIP-ViT-40M-32-Text-19M-LAION400M / figure
480 kB
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  • 2 contributors
History: 1 commit
wkcn's picture
wkcn
first commit
cb949b9 almost 3 years ago
  • TinyCLIP.jpg
    356 kB
    first commit almost 3 years ago
  • fig1.jpg
    124 kB
    first commit almost 3 years ago