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mlpc-lab
/
BLIVA_Vicuna

Visual Question Answering
Transformers
English
Model card Files Files and versions
xet
Community
2

Instructions to use mlpc-lab/BLIVA_Vicuna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mlpc-lab/BLIVA_Vicuna with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="mlpc-lab/BLIVA_Vicuna")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mlpc-lab/BLIVA_Vicuna", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BLIVA_Vicuna
4.31 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
gordonhu's picture
gordonhu
Update README.md
5943d53 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.68 kB
    Update README.md almost 3 years ago
  • bliva_vicuna7b.pth
    4.31 GB
    xet
    upload almost 3 years ago