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

ramene
/
mae-video-ingestion

Video-Text-to-Text
Transformers
English
video-understanding
vision-language-model
qwen2-vl
whisper
structured-extraction
operator-curated
evidence-bound-retrieval
Model card Files Files and versions
xet
Community

Instructions to use ramene/mae-video-ingestion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ramene/mae-video-ingestion with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ramene/mae-video-ingestion", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mae-video-ingestion
6.34 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ramene's picture
ramene
Updated README.md
4ebefbd verified 30 days ago
  • .gitattributes
    1.52 kB
    initial commit 30 days ago
  • README.md
    4.82 kB
    Updated README.md 30 days ago