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MCG-NJU
/
I3D-ViT

Image Feature Extraction
Transformers
Safetensors
English
videochat3_vision
feature-extraction
video
vision
videochat3
custom_code
Model card Files Files and versions
xet
Community

Instructions to use MCG-NJU/I3D-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MCG-NJU/I3D-ViT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="MCG-NJU/I3D-ViT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MCG-NJU/I3D-ViT", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
I3D-ViT
834 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
ZZQ987's picture
ZZQ987
Update README.md
8d8fc45 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 13 days ago
  • README.md
    3.17 kB
    Update README.md 1 day ago
  • __init__.py
    116 Bytes
    Upload checkpoint-I3D-ViT 6 days ago
  • config.json
    616 Bytes
    Upload checkpoint-I3D-ViT 6 days ago
  • configuration_videochat3.py
    7.23 kB
    Upload checkpoint-I3D-ViT 6 days ago
  • model.safetensors
    834 MB
    xet
    Upload checkpoint-I3D-ViT 6 days ago
  • modeling_videochat3.py
    44.5 kB
    Upload checkpoint-I3D-ViT 6 days ago
  • preprocessor_config.json
    870 Bytes
    Upload checkpoint-I3D-ViT 6 days ago
  • video_preprocessor_config.json
    1.02 kB
    Upload checkpoint-I3D-ViT 6 days ago
  • video_processing_videochat3.py
    18.7 kB
    Upload checkpoint-I3D-ViT 6 days ago
  • videochat3_utils.py
    2.9 kB
    Upload checkpoint-I3D-ViT 6 days ago