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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Mena55
/
videomea_80

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Mena55/videomea_80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mena55/videomea_80 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="Mena55/videomea_80")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("Mena55/videomea_80")
    model = AutoModelForVideoClassification.from_pretrained("Mena55/videomea_80", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
videomea_80 / runs
42.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Mena55's picture
Mena55
Training in progress, epoch 2
94f478b verified over 2 years ago
  • Feb26_22-18-23_a891d8c288a3
    Training in progress, epoch 0 over 2 years ago
  • Feb26_22-25-11_a891d8c288a3
    Training in progress, epoch 1 over 2 years ago
  • Feb26_23-20-54_a891d8c288a3
    Training in progress, epoch 0 over 2 years ago
  • Feb26_23-23-38_a891d8c288a3
    Training in progress, epoch 2 over 2 years ago