Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

pavitemple
/
finetuned-Accident-MultipleLabels-Video-subset

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use pavitemple/finetuned-Accident-MultipleLabels-Video-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pavitemple/finetuned-Accident-MultipleLabels-Video-subset with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="pavitemple/finetuned-Accident-MultipleLabels-Video-subset")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("pavitemple/finetuned-Accident-MultipleLabels-Video-subset")
    model = AutoModelForVideoClassification.from_pretrained("pavitemple/finetuned-Accident-MultipleLabels-Video-subset")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-Accident-MultipleLabels-Video-subset
345 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 312 commits
pavitemple's picture
pavitemple
Model save
79fa2eb over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.21 kB
    Model save over 2 years ago
  • all_results.json
    202 Bytes
    Training in progress, epoch 0 over 2 years ago
  • config.json
    1.46 kB
    Training in progress, epoch 1 over 2 years ago
  • model.safetensors
    345 MB
    xet
    Model save over 2 years ago
  • preprocessor_config.json
    471 Bytes
    Training in progress, epoch 0 over 2 years ago
  • test_results.json
    202 Bytes
    Training in progress, epoch 0 over 2 years ago
  • trainer_state.json
    1.66 kB
    Training in progress, epoch 0 over 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "torch.device",
    • "transformers.trainer_utils.IntervalStrategy",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.state.PartialState",
    • "transformers.training_args.OptimizerNames"

    How to fix it?

    4.6 kB
    xet
    Training in progress, epoch 0 over 2 years ago