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nvidia
/
groupvit-gcc-yfcc

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
groupvit
vision
Model card Files Files and versions
xet
Community
2

Instructions to use nvidia/groupvit-gcc-yfcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/groupvit-gcc-yfcc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nvidia/groupvit-gcc-yfcc")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("nvidia/groupvit-gcc-yfcc")
    model = AutoModel.from_pretrained("nvidia/groupvit-gcc-yfcc")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
groupvit-gcc-yfcc
673 MB
Ctrl+K
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  • 4 contributors
History: 13 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
c4b30ed about 3 years ago
  • .gitattributes
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    Adding `safetensors` variant of this model about 3 years ago
  • README.md
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  • config.json
    4.64 kB
    Revert id2label and label2id additions almost 4 years ago
  • merges.txt
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  • model.safetensors
    223 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    223 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    472 Bytes
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  • tf_model.h5
    224 MB
    xet
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  • tokenizer.json
    2.22 MB
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  • tokenizer_config.json
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  • vocab.json
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