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BAAI
/
Emu3-VisionTokenizer

Feature Extraction
Transformers
Safetensors
Emu3VisionVQ
custom_code
Model card Files Files and versions
xet
Community

Instructions to use BAAI/Emu3-VisionTokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BAAI/Emu3-VisionTokenizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="BAAI/Emu3-VisionTokenizer", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BAAI/Emu3-VisionTokenizer", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Emu3-VisionTokenizer
1.08 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
ryanzhangfan's picture
ryanzhangfan
Update README.md
c81f916 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.53 kB
    Update README.md over 1 year ago
  • config.json
    592 Bytes
    Upload 6 files over 1 year ago
  • configuration_emu3visionvq.py
    4.18 kB
    Upload 6 files over 1 year ago
  • image_processing_emu3visionvq.py
    22.5 kB
    Upload 6 files over 1 year ago
  • model.safetensors
    1.08 GB
    xet
    Upload 6 files over 1 year ago
  • modeling_emu3visionvq.py
    24.4 kB
    Upload 6 files over 1 year ago
  • preprocessor_config.json
    556 Bytes
    Upload 6 files over 1 year ago