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LanguageBind
/
LanguageBind_Thermal

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

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

  • Libraries
  • Transformers

    How to use LanguageBind/LanguageBind_Thermal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Thermal")
    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_Thermal", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LanguageBind_Thermal
1.72 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
LanguageBind's picture
LanguageBind
Update README.md
538468a verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    17.8 kB
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  • config.json
    4.62 kB
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  • merges.txt
    525 kB
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  • pytorch_model.bin
    1.71 GB
    xet
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  • special_tokens_map.json
    472 Bytes
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  • tokenizer.json
    2.22 MB
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  • tokenizer_config.json
    818 Bytes
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  • vocab.json
    862 kB
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