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/c-api/c-api.cc

@@ -484,6 +484,9 @@ static sherpa_onnx::OfflineRecognizerConfig GetOfflineRecognizerConfig(
   recognizer_config.model_config.dolphin.model =
       SHERPA_ONNX_OR(config->model_config.dolphin.model, "");
 
+  recognizer_config.model_config.zipformer_ctc.model =
+      SHERPA_ONNX_OR(config->model_config.zipformer_ctc.model, "");
+
   recognizer_config.lm_config.model =
       SHERPA_ONNX_OR(config->lm_config.model, "");
   recognizer_config.lm_config.scale =