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m522t
/
open_groundingdino

Object Detection
Transformers
PyTorch
groundingdino
grounding
vision
custom-dataset
Model card Files Files and versions
xet
Community
1

Instructions to use m522t/open_groundingdino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m522t/open_groundingdino with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="m522t/open_groundingdino")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("m522t/open_groundingdino", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
open_groundingdino
692 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
m522t's picture
m522t
Upload open_groundingdino model
fb7bd9e verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    3.94 kB
    Upload open_groundingdino model 8 months ago
  • config.json
    3.83 kB
    Upload open_groundingdino model 8 months ago
  • config.py
    35.7 kB
    Upload open_groundingdino model 8 months ago
  • label_map.json
    41.6 kB
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  • model_card.json
    779 Bytes
    Upload open_groundingdino model 8 months ago
  • modeling_groundingdino.py
    2.73 kB
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  • original_config.py
    35.7 kB
    Upload open_groundingdino model 8 months ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    692 MB
    xet
    Upload open_groundingdino model 8 months ago
  • tokenizer.json
    195 Bytes
    Upload open_groundingdino model 8 months ago
  • tokenizer_config.json
    164 Bytes
    Upload open_groundingdino model 8 months ago