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unum-cloud
/
uform3-image-text-multilingual-base

Feature Extraction
Transformers
Core ML
ONNX
clip
vision
Model card Files Files and versions
xet
Community

Instructions to use unum-cloud/uform3-image-text-multilingual-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unum-cloud/uform3-image-text-multilingual-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="unum-cloud/uform3-image-text-multilingual-base")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("unum-cloud/uform3-image-text-multilingual-base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
uform3-image-text-multilingual-base / text_encoder.mlpackage
441 MB
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  • 1 contributor
History: 1 commit
ashvardanian's picture
ashvardanian
Upload folder using huggingface_hub
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  • Data
    Upload folder using huggingface_hub about 2 years ago
  • Manifest.json
    617 Bytes
    Upload folder using huggingface_hub about 2 years ago