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readingrocket
/
clip-vit-large-patch14-001

Feature Extraction
Transformers
Safetensors
clip_text_model
Model card Files Files and versions
xet
Community

Instructions to use readingrocket/clip-vit-large-patch14-001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use readingrocket/clip-vit-large-patch14-001 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="readingrocket/clip-vit-large-patch14-001")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("readingrocket/clip-vit-large-patch14-001")
    model = AutoModel.from_pretrained("readingrocket/clip-vit-large-patch14-001")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-large-patch14-001
492 MB
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  • 1 contributor
History: 2 commits
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readingrocket
Upload model
0c9b22a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload model about 2 years ago
  • config.json
    612 Bytes
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  • model.safetensors
    492 MB
    xet
    Upload model about 2 years ago