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SajjadAyoubi
/
clip-fa-vision

Feature Extraction
Transformers
PyTorch
clip_vision_model
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use SajjadAyoubi/clip-fa-vision with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SajjadAyoubi/clip-fa-vision")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SajjadAyoubi/clip-fa-vision")
    model = AutoModel.from_pretrained("SajjadAyoubi/clip-fa-vision", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clip-fa-vision
350 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
SajjadAyoubi's picture
SajjadAyoubi
Update README.md
b78ef94 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    2.79 kB
    Update README.md over 4 years ago
  • config.json
    4.37 kB
    add model over 4 years ago
  • preprocessor_config.json
    316 Bytes
    Update preprocessor_config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    350 MB
    xet
    add model over 4 years ago