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fcakyon
/
timesformer-base-finetuned-k600

Video Classification
Transformers
PyTorch
timesformer
vision
Model card Files Files and versions
xet
Community
1

Instructions to use fcakyon/timesformer-base-finetuned-k600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fcakyon/timesformer-base-finetuned-k600 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="fcakyon/timesformer-base-finetuned-k600")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("fcakyon/timesformer-base-finetuned-k600")
    model = AutoModelForVideoClassification.from_pretrained("fcakyon/timesformer-base-finetuned-k600", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
timesformer-base-finetuned-k600
487 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
fcakyon's picture
fcakyon
Create README.md
ab3aff1 almost 4 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • README.md
    1.93 kB
    Create README.md almost 4 years ago
  • config.json
    34.4 kB
    Upload TimesformerForVideoClassification almost 4 years ago
  • preprocessor_config.json
    412 Bytes
    Upload processor almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    487 MB
    xet
    Upload TimesformerForVideoClassification almost 4 years ago