Using embedding model in C++ app

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  • cppflow

    Run TensorFlow models in C++ without installation and without Bazel

    My solution so far: I am using a compiled Tensorflow C DLL in combination with cppflow (https://github.com/serizba/cppflow). However, I get problems when I take models which use operations from the tensorflow_text python module since I don’t know how to get their C++ API.

  • tensorflow

    An Open Source Machine Learning Framework for Everyone

    The only way I was able to get it to work was to build Tensorflow core from source with an extra CXX opt that is not in the default build config (see this issue: https://github.com/tensorflow/tensorflow/issues/34946). Then build the tensforflow-text shared library from source as well using the newer docker image Tensorflow uses. This was over a year ago, though, so YMMV.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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