Instructions to use Reinold/safeguard-vision-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use Reinold/safeguard-vision-models 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 # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=Reinold/safeguard-vision-models \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
SafeGuard Vision — modelos on-device
Modelos que la app SafeGuard Vision descarga la primera vez que se usa la herramienta «Parte diario por voz». Todo se ejecuta en el móvil, sin conexión; este repositorio solo sirve los ficheros. La app comprueba el sha256 de cada fichero contra su manifiesto.
| Carpeta | Modelo | Licencia |
|---|---|---|
whisper/ |
Whisper small multilingüe (OpenAI), exportado a ONNX int8 por sherpa-onnx; el decoder guarda el embedding de tokens en float16 | MIT (Whisper) · Apache-2.0 (sherpa-onnx) |
form-extractor/v3/ |
FunctionGemma 270M afinado para rellenar el parte diario de obra en castellano, int8, LiteRT-LM, con el esquema de la función con el que se entrenó | Gemma Terms of Use |
Aviso de Gemma
form-extractor/ es un modelo derivado de Gemma. Gemma se proporciona bajo y está sujeto a los
Gemma Terms of Use que se encuentran en https://ai.google.dev/gemma/terms, incluida la política
de uso prohibido https://ai.google.dev/gemma/prohibited_use_policy.
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Model tree for Reinold/safeguard-vision-models
Base model
google/functiongemma-270m-it