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LanguageBind
/
LanguageBind_Depth

Zero-Shot Image Classification
Transformers
PyTorch
LanguageBindDepth
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use LanguageBind/LanguageBind_Depth with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Depth")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoModelForZeroShotImageClassification
    model = AutoModelForZeroShotImageClassification.from_pretrained("LanguageBind/LanguageBind_Depth", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LanguageBind_Depth
1.54 kB
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  • 2 contributors
History: 1 commit
LanguageBind's picture
LanguageBind
initial commit
4f8bdef over 2 years ago
  • .gitattributes
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    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago