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MCG-NJU
/
videomae-large

Video Classification
Transformers
PyTorch
Safetensors
videomae
pretraining
vision
Model card Files Files and versions
xet
Community
1

Instructions to use MCG-NJU/videomae-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MCG-NJU/videomae-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="MCG-NJU/videomae-large")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForPreTraining
    
    processor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-large")
    model = AutoModelForPreTraining.from_pretrained("MCG-NJU/videomae-large")
  • Notebooks
  • Google Colab
  • Kaggle
videomae-large
Ctrl+K
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  • 2 contributors
History: 7 commits
nielsr's picture
nielsr HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
12da269 verified about 2 years ago
  • .gitattributes
    1.4 kB
    Adding `safetensors` variant of this model (#1) about 2 years ago
  • README.md
    3.77 kB
    Update README.md about 3 years ago
  • config.json
    727 Bytes
    Upload VideoMAEForPreTraining almost 4 years ago
  • model.safetensors
    1.37 GB
    xet
    Adding `safetensors` variant of this model (#1) about 2 years ago
  • preprocessor_config.json
    271 Bytes
    Upload preprocessor_config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.37 GB
    xet
    Upload VideoMAEForPreTraining almost 4 years ago