How OnnxRuntime C# API can address the pain points of ~900 ML.NET Apr2021 survey responses?

Is your feature request related to a problem? Please describe.

The pain points of the Apr 2021 ML.NET survey and the result discussions

Describe the solution you'd like

It is clear that NLP is high on priority
This means **more deep learning NLP use cases ** e.g. using ML.NET or just ONNX C# API to load pretrained Hugging Face transformer models using OnnxRuntime

With recent renaming effort to make TorchSharp more PyTorch like, it is NOW more feasible to port the PyTorch NLP Transformer codes [The ONNX API inference session] to .NET (c# or f#)

Here are some of the PyTorch NLP Transformer code candidates (porting to c#) to address the pain points of ML.NET!!

• Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb
• Inference_GPT2-OneStepSearch_OnnxRuntime_CPU.ipynb

Start with Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb and Inference_GPT2-OneStepSearch_OnnxRuntime_CPU.ipynb to understand the proposed transformer inference flows and compare them with the OnnxRuntime C# API. Done would require a concrete, validated scope for porting one of these NLP use cases to C#, rather than the broad survey-driven request currently provided.