rmayormartins/onnx-scope

##Information ONNX is an open-source format designed for representing machine learning models in a platform-independent manner. Developed collaboratively by Microsoft and Facebook (Meta), ONNX aims to foster interoperability in AI ecosystem. It allows developers to transition models between various frameworks such as PyTorch and TensorFlow.

Additional Information

• —Developed by Ramon Mayor Martins (2023)
• —E-mail: rmayormartins@gmail.com
• —Homepage: https://rmayormartins.github.io/
• —Twitter: @rmayormartins
• —GitHub: https://github.com/rmayormartins

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference