text: Title: Technical Issue in code
  Body: ```
  public class HomeController : Controller
  {
      private readonly MLContext _mlContext;
      private readonly PredictionEngine<SignLanguageInput, SignLanguageOutput> _predictionEngine;
  
      public HomeController()
      {
          _mlContext = new MLContext();
  
          // Load ONNX model 
          var modelPath = Path.Combine(Directory.GetCurrentDirectory(), "wwwroot", "models", "hand_landmark_sparse_Nx3x224x224.onnx"); 
  
          var dataView = _mlContext.Data.LoadFromEnumerable(new List<SignLanguageInput>());
          var pipeline = _mlContext.Transforms.ApplyOnnxModel(modelPath);
            
          var trainedModel = pipeline.Fit(dataView);
          _predictionEngine = _mlContext.Model.CreatePredictionEngine<SignLanguageInput, SignLanguageOutput>(trainedModel);
      }
  
      public IActionResult Index()
      {
          return View();
      }
       
      public IActionResult PredictGesture([FromBody] string base64Image)
      {
          if (string.IsNullOrEmpty(base64Image) || base64Image == "data:,")
              return BadRequest("Image data is missing!");
  
          // Decode the base64 image and save it temporarily
          var imageBytes = Convert.FromBase64String(base64Image.Replace("data:image/png;base64,", ""));
          var tempImagePath = Path.Combine(Path.GetTempPath(), $"{Guid.NewGuid()}.png");
          System.IO.File.WriteAllBytes(tempImagePath, imageBytes);
  
          try
          {
              // Preprocess the image to create input tensor
              var inputTensor = PreprocessImage(tempImagePath, 92, 92);  
              float[] inputArray = inputTensor.ToArray();
              // Create input for prediction
              var input = new SignLanguageInput { input = inputArray };
   
              // Predict gesture
              var result = _predictionEngine.Predict(input);
  
              if (result != null)
              {
                  return Ok(new
                  {
                      Prediction = result.Label,
                      Confidence = result.Confidence,
                  });
              }
              else
              {
                  return StatusCode(500, "Prediction returned null");
              }
          }
          catch (Exception ex)
          {
              return StatusCode(500, $"Internal server error: {ex.Message}");
          }
          finally
          {
              // Clean up temporary file
              System.IO.File.Delete(tempImagePath);
          }
      }
  
  
      private DenseTensor<float> PreprocessImage(string imagePath, int width, int height)
      {
          using var bitmap = new Bitmap(imagePath);
          using var resized = new Bitmap(bitmap, new Size(width, height));  
  
          int channels = 3; // RGB
          var tensor = new float[channels * width * height];  
          int index = 0;
  
          for (int y = 0; y < resized.Height; y++)
          {
              for (int x = 0; x < resized.Width; x++)
              {
                  var pixel = resized.GetPixel(x, y);
  
                  // Channel-first format (C, H, W)
                  tensor[index + 0] = pixel.R / 255f; // Red
                  tensor[index + 1] = pixel.G / 255f; // Green
                  tensor[index + 2] = pixel.B / 255f; // Blue
  
                  index += channels;
              }
          }
  
          // Create a DenseTensor directly from the preprocessed image
          var tensorShape = new[] { 1, 3, height, width }; // NCHW format
          return new DenseTensor<float>(tensor, tensorShape); // Return as DenseTensor
      }
  }
  ```
  
  I have given my code (in mvc). In this code, i am getting error on line "**var result = _predictionEngine.Predict(input);**" and error is "**System.ArgumentOutOfRangeException: 'Index was out of range. Must be non-negative and less than the size of the collection. (Parameter 'index')'**"
  
  
  Using package :
  
  .Net Framework : net8.0
  Microsoft.ML : Version="4.0.0" 
  Microsoft.ML.OnnxRuntime.Gpu Version="1.20.1" 
  Microsoft.ML.OnnxRuntime.Managed Version="1.20.1" 
  Microsoft.ML.OnnxTransformer Version="4.0.0" 
  SixLabors.ImageSharp Version="3.1.6" 
  System.Drawing.Common Version="9.0.0" 
  
  and using window is "Window 11" with 64bit OS
  
  
  