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hf-tiny-model-private
/
tiny-random-VisionTextDualEncoderModel-vit-bert

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
vision-text-dual-encoder
Model card Files Files and versions
xet
Community
1

Instructions to use hf-tiny-model-private/tiny-random-VisionTextDualEncoderModel-vit-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-VisionTextDualEncoderModel-vit-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-VisionTextDualEncoderModel-vit-bert")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-VisionTextDualEncoderModel-vit-bert")
    model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-VisionTextDualEncoderModel-vit-bert")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-VisionTextDualEncoderModel-vit-bert
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  • 1 contributor
History: 1 commit
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hf-transformers-bot
initial commit
b8e2b75 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago