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Projects using CSnakes

CSnakes is being used in various projects to integrate Python code into C# applications. Here are some notable examples:

TransformersSharp

Project: TransformersSharp
Repository: GitHub - TransformersSharp
Author: Tony Baloney

TransformersSharp is a C# wrapper for Hugging Face Transformers that demonstrates the power of CSnakes for AI/ML integration. This project provides a .NET-friendly interface to the popular Python transformers library, enabling C# developers to leverage state-of-the-art machine learning models without leaving the .NET ecosystem.

Key Features

  • Tokenizer API based on Hugging Face's PreTrainedTokenizerBase
  • Pipeline Factory for creating various ML pipelines
  • Text Generation Pipeline for language model text generation
  • Text Classification Pipeline for sentiment analysis and classification tasks
  • Image Classification Pipeline for computer vision tasks
  • Object Detection Pipeline for detecting objects in images
  • Text to Audio Pipeline for speech synthesis
  • Automatic Speech Recognition for transcribing audio to text
  • Sentence Transformers for generating embeddings

Why CSnakes?

TransformersSharp showcases several key advantages of CSnakes:

  1. Automatic Dependency Management: The project automatically fetches Python, PyTorch, and Hugging Face Transformers - no manual Python installation required
  2. Type Safety: Strong typing between C# and Python code with automatic type conversion
  3. Performance: Direct integration without the overhead of separate processes or REST APIs
  4. Ease of Use: Simple C# API that abstracts away Python complexity

Example Usage

using TransformersSharp;

// Text classification
var classifier = new TextClassificationPipeline("cardiffnlp/twitter-roberta-base-sentiment-latest");
var result = classifier.Predict("I love using CSnakes with TransformersSharp!");

// Text generation
var generator = new TextGenerationPipeline("gpt2");
var generated = generator.Generate("The future of AI is", maxLength: 50);

// Image classification
var imageClassifier = new ImageClassificationPipeline("google/vit-base-patch16-224");
var prediction = imageClassifier.Predict("path/to/image.jpg");

Impact

TransformersSharp demonstrates how CSnakes enables:

  • Enterprise AI Integration: Bringing cutting-edge AI models into .NET enterprise applications
  • Rapid Prototyping: Quick experimentation with ML models in familiar C# environment
  • Production Deployment: Reliable deployment of Python-based AI models in .NET infrastructure
  • Developer Productivity: Eliminating the need for separate Python environments and API bridges

This project serves as an excellent reference for developers looking to integrate complex Python AI/ML libraries into their .NET applications using CSnakes.

Got a project using CSnakes you want featured here? Submit an issue on the CSnakes GitHub repository!