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

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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