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Salesforce
/
blip2-itm-vit-g-coco

Zero-Shot Image Classification
Transformers
PyTorch
Safetensors
blip-2
Model card Files Files and versions
xet
Community
4

Instructions to use Salesforce/blip2-itm-vit-g-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Salesforce/blip2-itm-vit-g-coco with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="Salesforce/blip2-itm-vit-g-coco")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("Salesforce/blip2-itm-vit-g-coco")
    model = AutoModelForZeroShotImageClassification.from_pretrained("Salesforce/blip2-itm-vit-g-coco")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Transformers update

1
#4 opened over 1 year ago by
RaushanTurganbay

Is this model the image-text retrieval model (BLIP-2 ViT-g) fine-tuned on the COCO dataset ?

👀 2
#2 opened over 1 year ago by
XiangLiu03
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