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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 / quantized_base_model
1.31 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AlaBoussoffara's picture
AlaBoussoffara
Upload 8-bit quantized artifacts
33333e8 verified about 1 month ago
  • config.json
    2.18 kB
    Upload 8-bit quantized artifacts about 1 month ago
  • generation_config.json
    161 Bytes
    Upload 8-bit quantized artifacts about 1 month ago
  • model.safetensors
    1.31 GB
    xet
    Upload 8-bit quantized artifacts about 1 month ago