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

scripts/apk/generate-asr-apk-script.py

@@ -344,7 +344,7 @@ def get_models():
             """,
         ),
         Model(
-            model_name="sherpa-onnx-streaming-zipformer-ctc-fp16-zh-2025-06-30",
+            model_name="sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30",
             idx=19,
             lang="zh",
             short_name="large_zipformer_fp16",
@@ -360,6 +360,26 @@ def get_models():
 
             ls -lh
 
+            popd
+            """,
+        ),
+        Model(
+            model_name="sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30",
+            idx=20,
+            lang="zh",
+            short_name="large_zipformer_int8",
+            rule_fsts="itn_zh_number.fst",
+            cmd="""
+            if [ ! -f itn_zh_number.fst ]; then
+              curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+            fi
+            pushd $model_name
+            rm -fv bpe.model
+
+            rm -rf test_wavs
+
+            ls -lh
+
             popd
             """,
         ),