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DIvest1ng
/
meme_clip

Feature Extraction
Transformers
Safetensors
vision-text-dual-encoder
Model card Files Files and versions
xet
Community

Instructions to use DIvest1ng/meme_clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DIvest1ng/meme_clip with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DIvest1ng/meme_clip")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("DIvest1ng/meme_clip")
    model = AutoModel.from_pretrained("DIvest1ng/meme_clip")
  • Notebooks
  • Google Colab
  • Kaggle
meme_clip
1.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
DIvest1ng's picture
DIvest1ng
Upload model
426af72 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload model 7 months ago
  • config.json
    4.66 kB
    Upload model 7 months ago
  • model.safetensors
    1.78 GB
    xet
    Upload model 7 months ago