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

Or4cl3-1
/
multimodal-fusion-optimized

Document Question Answering
Transformers
English
Multimodal AI Model
Merge
mergekit
lazymergekit
OpenAI/CLIP
Or4cl3-1/cognitive-agent-xtts-optimized
Model card Files Files and versions
xet
Community

Instructions to use Or4cl3-1/multimodal-fusion-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Or4cl3-1/multimodal-fusion-optimized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="Or4cl3-1/multimodal-fusion-optimized")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Or4cl3-1/multimodal-fusion-optimized", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multimodal-fusion-optimized
6.91 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Or4cl3-1's picture
Or4cl3-1
Update README.md
7aa00d0 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.92 kB
    Update README.md over 2 years ago
  • config.json
    1.47 kB
    Create config.json over 2 years ago