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zenosai
/
MonkeyOCRv2-AS

Image Feature Extraction
Transformers
Safetensors
monkeyocrv2_vitae_encoder
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use zenosai/MonkeyOCRv2-AS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zenosai/MonkeyOCRv2-AS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="zenosai/MonkeyOCRv2-AS", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zenosai/MonkeyOCRv2-AS", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MonkeyOCRv2-AS
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  • 2 contributors
History: 5 commits
zenosai's picture
zenosai
Update README.md
bddf4c9 verified about 22 hours ago
  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    42.2 kB
    Update README.md about 22 hours ago
  • config.json
    1.34 kB
    Upload folder using huggingface_hub 5 days ago
  • configuration_monkeyocrv2_vitae.py
    5.01 kB
    Upload folder using huggingface_hub 5 days ago
  • model.safetensors
    83.9 MB
    xet
    Upload folder using huggingface_hub 5 days ago
  • modeling_monkeyocrv2_vitae_vision.py
    42.8 kB
    Upload folder using huggingface_hub 5 days ago
  • preprocessor_config.json
    483 Bytes
    Upload folder using huggingface_hub 5 days ago