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    Supported models

    You can import open-source models into your Sentis project. Explore the following sections to understand the models Sentis supports and find an appropriate model for your project.

    Pre-trained models

    There are various sources to find pre-trained models, which might either be available in the ONNX format, LiteRT format, or in a format that you can convert. Examples include:

    • Hugging Face
    • Kaggle Models (Formerly TensorFlow Hub)
    • PyTorch Hub
    • Model Zoo
    • XetData
    • Meta Research

    If you want to train your own models, refer to the following links:

    • Google Colab
    • Kaggle

    Models from Hugging Face

    You can access validated AI models for use with Sentis from Hugging Face.

    To browse and download models from Hugging Face navigate to the Unity Hugging Face space and select a model under the Models section.

    Each model page includes a How to Use section with instructions for importing the model into your Unity project.

    ONNX models

    You can also import models in the ONNX format. Sentis supports most ONNX models with opset version 7 to 15. Models with opset versions outside this range (for example, <7 or >15) might still import, but results can be unpredictable.

    Unsupported models

    Sentis doesn't support the following:

    • Models that use tensors with more than eight dimensions
    • Sparse input tensors or constants
    • String tensors
    • Complex number tensors

    Sentis also converts some tensor data types like booleans to floats or integers. This might increase the memory your model uses.

    Additional resources

    • Unity Hugging Face
    • ONNX model zoo
    • Sentis models
    • Import a model file
    • Supported ONNX operators
    • Supported LiteRT operators
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