.Net: Fix hugging face embedding (microsoft#6673)

### Motivation and Context
Fix the Bug microsoft#6635 HuggingFace Embedding: Unable to Deserialization for
certain models

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### Description
As mentioned in the issue, the HuggingFace Embedding API interface
returns responses typically in the form of `List<ReadOnlyMemory<float>>`
and occasionally as `List<List<List<ReadOnlyMemory<float>>>>`.
Currently, only the latter format is handled correctly, leading to
deserialization issues.

To address this, I propose the following solution:
```
try {
    // Attempt to parse data as List<ReadOnlyMemory<float>> and return the parsed data
}
catch (KernelException ex1) {
    try {
        // If the first attempt fails, attempt to parse data as List<List<List<ReadOnlyMemory<float>>>>` and return the parsed data
    }
    catch (KernelException ex2) {
        // If both attempts fail, handle the exception (e.g., the model doesn't exist ,the model has still been loading, or an HTTP exception occurred) and rethrow the error
    }
}

```
### Contribution Checklist 

<!-- Before submitting this PR, please make sure: -->

- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

---------

Co-authored-by: Dmytro Struk <[email protected]>

dotnet/samples/Concepts/Memory/HuggingFace_TextEmbeddingCustomHttpHandler.cs

@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using Microsoft.SemanticKernel.Connectors.HuggingFace;
+using Microsoft.SemanticKernel.Connectors.Sqlite;
+using Microsoft.SemanticKernel.Memory;
+
+#pragma warning disable CS8602 // Dereference of a possibly null reference.
+
+namespace Memory;
+
+/// <summary>
+/// This example shows how to use custom <see cref="HttpClientHandler"/> to override Hugging Face HTTP response.
+/// Generally, an embedding model will return results as a 1 * n matrix for input type [string]. However, the model can have different matrix dimensionality.
+/// For example, the <a href="https://huggingface.co/cointegrated/LaBSE-en-ru">cointegrated/LaBSE-en-ru</a> model returns results as a 1 * 1 * 4 * 768 matrix, which is different from Hugging Face embedding generation service implementation.
+/// To address this, a custom <see cref="HttpClientHandler"/> can be used to modify the response before sending it back.
+/// </summary>
+public class HuggingFace_TextEmbeddingCustomHttpHandler(ITestOutputHelper output) : BaseTest(output)
+{
+    public async Task RunInferenceApiEmbeddingCustomHttpHandlerAsync()
+    {
+        Console.WriteLine("\n======= Hugging Face Inference API - Embedding Example ========\n");
+
+        var hf = new HuggingFaceTextEmbeddingGenerationService(
+            "cointegrated/LaBSE-en-ru",
+            apiKey: TestConfiguration.HuggingFace.ApiKey,
+            httpClient: new HttpClient(new CustomHttpClientHandler()
+            {
+                CheckCertificateRevocationList = true
+            })
+        );
+
+        var sqliteMemory = await SqliteMemoryStore.ConnectAsync("./../../../Sqlite.sqlite");
+
+        var skMemory = new MemoryBuilder()
+            .WithTextEmbeddingGeneration(hf)
+            .WithMemoryStore(sqliteMemory)
+            .Build();
+
+        await skMemory.SaveInformationAsync("Test", "THIS IS A SAMPLE", "sample", "TEXT");
+    }
+
+    private sealed class CustomHttpClientHandler : HttpClientHandler
+    {
+        private readonly JsonSerializerOptions _jsonOptions = new();
+        protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
+        {
+            // Log the request URI
+            //Console.WriteLine($"Request: {request.Method} {request.RequestUri}");
+
+            // Send the request and get the response
+            HttpResponseMessage response = await base.SendAsync(request, cancellationToken);
+
+            // Log the response status code
+            //Console.WriteLine($"Response: {(int)response.StatusCode} {response.ReasonPhrase}");
+
+            // You can manipulate the response here
+            // For example, add a custom header
+            // response.Headers.Add("X-Custom-Header", "CustomValue");
+
+            // For example, modify the response content
+            Stream originalContent = await response.Content.ReadAsStreamAsync(cancellationToken).ConfigureAwait(false);
+            List<List<List<ReadOnlyMemory<float>>>> modifiedContent = (await JsonSerializer.DeserializeAsync<List<List<List<ReadOnlyMemory<float>>>>>(originalContent, _jsonOptions, cancellationToken).ConfigureAwait(false))!;
+
+            Stream modifiedStream = new MemoryStream();
+            await JsonSerializer.SerializeAsync(modifiedStream, modifiedContent[0][0].ToList(), _jsonOptions, cancellationToken).ConfigureAwait(false);
+            response.Content = new StreamContent(modifiedStream);
+
+            // Return the modified response
+            return response;
+        }
+    }
+}

dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/Services/HuggingFaceEmbeddingGenerationTests.cs

@@ -129,8 +129,8 @@ public async Task ShouldHandleServiceResponseAsync()
         //Assert
 
         Assert.NotNull(embeddings);
-        Assert.Equal(3, embeddings.Count);
-        Assert.Equal(768, embeddings.First().Length);
+        Assert.Single(embeddings);
+        Assert.Equal(1024, embeddings.First().Length);
     }
 
     public void Dispose()