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

davicn7
/
hvar_vaq_model

Visual Question Answering
Transformers
Safetensors
blip
Model card Files Files and versions
xet
Community

Instructions to use davicn7/hvar_vaq_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use davicn7/hvar_vaq_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="davicn7/hvar_vaq_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("davicn7/hvar_vaq_model")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("davicn7/hvar_vaq_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hvar_vaq_model
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
davicn7's picture
davicn7
Upload BlipForQuestionAnswering
3977384 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    48 Bytes
    Upload BlipForQuestionAnswering over 2 years ago
  • config.json
    664 Bytes
    Upload BlipForQuestionAnswering over 2 years ago
  • generation_config.json
    136 Bytes
    Upload BlipForQuestionAnswering over 2 years ago
  • model.safetensors
    1.54 GB
    xet
    Upload BlipForQuestionAnswering over 2 years ago