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Thouph
/
clip-vit-l-224-patch14-datacomp-image-classification

Image Classification
Transformers
JAX
clip_vision_model
Model card Files Files and versions
xet
Community

Instructions to use Thouph/clip-vit-l-224-patch14-datacomp-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thouph/clip-vit-l-224-patch14-datacomp-image-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Thouph/clip-vit-l-224-patch14-datacomp-image-classification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Thouph/clip-vit-l-224-patch14-datacomp-image-classification")
    model = AutoModelForImageClassification.from_pretrained("Thouph/clip-vit-l-224-patch14-datacomp-image-classification")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-l-224-patch14-datacomp-image-classification
1.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Thouph's picture
Thouph
Upload 3 files
60c6529 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • 7748tags.json
    119 kB
    Upload 3 files over 2 years ago
  • README.md
    30 Bytes
    initial commit over 2 years ago
  • clip_for_image_classification.py
    1.84 kB
    Upload 3 files over 2 years ago
  • config.json
    383 kB
    Test run, step 11,000, batch size 40, 7748 tags over 2 years ago
  • flax_model.msgpack
    1.24 GB
    xet
    step 86000 over 2 years ago
  • inference.py
    1.23 kB
    Upload 3 files over 2 years ago