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amir7d0
/
CLIP-fa

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

Instructions to use amir7d0/CLIP-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amir7d0/CLIP-fa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="amir7d0/CLIP-fa")
    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("amir7d0/CLIP-fa")
    model = AutoModelForZeroShotImageClassification.from_pretrained("amir7d0/CLIP-fa")
  • Notebooks
  • Google Colab
  • Kaggle
CLIP-fa
826 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
amir7d0's picture
amir7d0
Upload model
9f3e48b over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    17.4 kB
    Upload model over 3 years ago
  • pytorch_model.bin
    826 MB
    xet
    Upload model over 3 years ago