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CompressingVLM
/
glm-ocr-boundingdocs-ft-bnb-int8

Transformers
Safetensors
vision-language
document-understanding
boundingdocs
bitsandbytes
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
glm-ocr-boundingdocs-ft-bnb-int8
1.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
AlaBoussoffara's picture
AlaBoussoffara
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33333e8 verified about 1 month ago
  • adapter
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  • quantized_base_model
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  • .gitattributes
    1.52 kB
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  • README.md
    741 Bytes
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  • benchmark_loader_manifest.json
    417 Bytes
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  • chat_template.jinja
    4.61 kB
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  • processor_config.json
    1.33 kB
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  • quantization_config.json
    417 Bytes
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  • tokenizer.json
    6.84 MB
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  • tokenizer_config.json
    1.1 kB
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