Support non-streaming zipformer CTC ASR models (#2340)

This PR adds support for non-streaming Zipformer CTC ASR models across 
multiple language bindings, WebAssembly, examples, and CI workflows.

- Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs
- Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js
- Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models

Model doc is available at
https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html

sherpa-onnx/kotlin-api/OnlineRecognizer.kt

@@ -412,6 +412,7 @@ fun getModelConfig(type: Int): OnlineModelConfig? {
                     model = "$modelDir/model.onnx",
                 ),
                 tokens = "$modelDir/tokens.txt",
+                modelType = "zipformer2",
             )
         }
 
@@ -422,6 +423,7 @@ fun getModelConfig(type: Int): OnlineModelConfig? {
                     model = "$modelDir/model.fp16.onnx",
                 ),
                 tokens = "$modelDir/tokens.txt",
+                modelType = "zipformer2",
             )
         }