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immanuelpeter
/
GLM-5.3-Flash-Vision

Image Feature Extraction
Transformers
Safetensors
glm5_next_vision
feature-extraction
vision
Model card Files Files and versions
xet
Community

Instructions to use immanuelpeter/GLM-5.3-Flash-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use immanuelpeter/GLM-5.3-Flash-Vision with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="immanuelpeter/GLM-5.3-Flash-Vision")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("immanuelpeter/GLM-5.3-Flash-Vision")
    model = AutoModel.from_pretrained("immanuelpeter/GLM-5.3-Flash-Vision", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GLM-5.3-Flash-Vision
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
immanuelpeter's picture
immanuelpeter
Add immanuelpeter/GLM-5.3-Flash-Vision vision tower
44a87fd verified 17 days ago
  • examples
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  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • LICENSE
    1.07 kB
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  • README.md
    1.83 kB
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  • config.json
    656 Bytes
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  • model.safetensors
    1.13 GB
    xet
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  • preprocessor_config.json
    407 Bytes
    Add immanuelpeter/GLM-5.3-Flash-Vision vision tower 17 days ago