将此模型移植到 C# 中使用

• C# 使用示例：

  using AI.DataPrepaire.DataLoader.NNWBlockLoader;
  using AI.DataStructs.Algebraic;
  using AI.ONNX.NLP.Bert;
  
  
  string path = "SbertDistilAIFr";
  // 加载 Bert 模型
  BertEmbedder embedder = BertEmbedder.FromPretrained(path);
  // 添加最后（线性）层
  LinearLayerLoader linearLayer = LinearLayerLoader.LoadFromBinary(@$"{path}\1_Linear\model.aifr");
  embedder.V2VBlocks.Add(linearLayer);
  
  // 句子向量化
  Vector vects1 = embedder.ForwardSBert("Kittens love milk");
  Vector vects2 = embedder.ForwardSBert("Visual Studio Code (VS Code) — текстовый редактор, разработанный Microsoft для Windows, Linux и macOS.");
  Vector vects3 = embedder.ForwardSBert("Visual Studio Code, also commonly referred to as VS Code,[12] is a source-code editor developed by Microsoft for Windows, Linux and macOS.");
  Vector vects1_rus = embedder.ForwardSBert("Котята любят молоко");
  
  // 计算文本之间的相似度
  Console.WriteLine(vects1.Cos(vects1_rus));
  Console.WriteLine(vects1.Cos(vects2));
  Console.WriteLine(vects2.Cos(vects3));
  Console.WriteLine(vects1.Cos(vects3));
  Console.ReadKey();
  

• 网络输出

0.8312274467817271
0.18402859300814606
0.9556528309990797
0.14738954582438052

• GitHub