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Creador301
/
tipsv2-l14

Zero-Shot Image Classification
Transformers
Safetensors
tipsv2
feature-extraction
vision
image-text
contrastive-learning
zero-shot
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Creador301/tipsv2-l14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Creador301/tipsv2-l14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="Creador301/tipsv2-l14", trust_remote_code=True)
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Creador301/tipsv2-l14", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tipsv2-l14
1.95 GB
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  • 1 contributor
History: 2 commits
Creador301's picture
Creador301
Upload 9 files
3cf5dc9 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    4.34 kB
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  • config.json
    531 Bytes
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  • configuration_tips.py
    1.29 kB
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  • image_encoder.py
    30.8 kB
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  • model.safetensors
    1.95 GB
    xet
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  • modeling_tips.py
    5.36 kB
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  • text_encoder.py
    10.6 kB
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  • tokenizer.model
    732 kB
    xet
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