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qihoo360
/
fg-clip2-large

Zero-Shot Image Classification
Transformers
Safetensors
English
Chinese
fgclip2
text-generation
clip
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use qihoo360/fg-clip2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qihoo360/fg-clip2-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="qihoo360/fg-clip2-large", 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 AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("qihoo360/fg-clip2-large", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

复现模型主页的retrieval的测试代码的时候,logits_per_image返回的4个值几乎一模一样,不知道是为什么?

1
#2 opened 6 months ago by
shumengwei
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