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mlboydaisuke
/
OvisOCR2-LiteRT

Image-Text-to-Text
LiteRT-LM
LiteRT
litertlm
on-device
edge
ocr
document-parsing
markdown
tables
formulas
vlm
hybrid
gated-deltanet
qwen3_5
Model card Files Files and versions
xet
Community

Instructions to use mlboydaisuke/OvisOCR2-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use mlboydaisuke/OvisOCR2-LiteRT with LiteRT-LM:

    # LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM)
    # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter).
    # For platform-specific integration guides, please refer to the official developer website:
    # https://ai.google.dev/edge/litert-lm
    
    # To try LiteRT-LM, the easiest way is to use our CLI tool.
    # 1. Install the LiteRT-LM CLI tool:
    pip install -U litert-lm
    
    # 2. Download and run this model locally:
    # See: https://ai.google.dev/edge/litert-lm/cli
    litert-lm run \
      --from-huggingface-repo=mlboydaisuke/OvisOCR2-LiteRT \
      --prompt="Write me a poem"
  • LiteRT

    How to use mlboydaisuke/OvisOCR2-LiteRT with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
OvisOCR2-LiteRT
1.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
mlboydaisuke's picture
mlboydaisuke
manifest: Android measured rows (Galaxy S26 GPU + same-device CPU control; Pixel 8a where run) and an Android recommendation where the evidence supports one
8acd0af verified about 8 hours ago
  • .gitattributes
    1.58 kB
    Upload OvisOCR2_int8.litertlm with huggingface_hub 5 days ago
  • OvisOCR2_int8.litertlm
    1.3 GB
    xet
    Upload OvisOCR2_int8.litertlm with huggingface_hub 5 days ago
  • README.md
    6.69 kB
    Card: base_model_relation: quantized (so the conversion lists under the base model's Quantizations, not Finetunes) 2 days ago
  • litertlm_manifest.json
    8.62 kB
    manifest: Android measured rows (Galaxy S26 GPU + same-device CPU control; Pixel 8a where run) and an Android recommendation where the evidence supports one about 8 hours ago