add more models

model.py

@@ -1469,6 +1469,60 @@ def _get_sherpa_onnx_offline_zipformer_pre_trained_model(
     return recognizer
 
 
+@lru_cache(maxsize=10)
+def _get_streaming_zipformer_ctc_pre_trained_model(
+    repo_id: str,
+    decoding_method: str,
+    num_active_paths: int,
+) -> sherpa_onnx.OnlineRecognizer:
+    assert repo_id in [
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-int8-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-fp16-2025-06-30",
+    ], repo_id
+
+    if repo_id in (
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-int8-2025-06-30",
+    ):
+        model = _get_nn_model_filename(
+            repo_id=repo_id,
+            filename="model.int8.onnx",
+            subfolder=".",
+        )
+    elif repo_id in (
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30",
+        "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-fp16-2025-06-30",
+    ):
+        model = _get_nn_model_filename(
+            repo_id=repo_id,
+            filename="model.fp16.onnx",
+            subfolder=".",
+        )
+    elif repo_id in ("csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30",):
+        model = _get_nn_model_filename(
+            repo_id=repo_id,
+            filename="model.onnx",
+            subfolder=".",
+        )
+
+    tokens = _get_token_filename(repo_id=repo_id, subfolder=".")
+
+    recognizer = sherpa_onnx.OnlineRecognizer.from_zipformer2_ctc(
+        tokens=tokens,
+        model=model,
+        num_threads=2,
+        sample_rate=16000,
+        feature_dim=80,
+        decoding_method=decoding_method,
+        max_active_paths=num_active_paths,
+    )
+
+    return recognizer
+
+
 @lru_cache(maxsize=10)
 def _get_streaming_zipformer_pre_trained_model(
     repo_id: str,
@@ -1889,6 +1943,11 @@ chinese_dialect_models = {
 }
 
 chinese_models = {
+    "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30": _get_streaming_zipformer_ctc_pre_trained_model,
+    "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30": _get_streaming_zipformer_ctc_pre_trained_model,
+    "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30": _get_streaming_zipformer_ctc_pre_trained_model,
+    "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-int8-2025-06-30": _get_streaming_zipformer_ctc_pre_trained_model,
+    "csukuangfj/sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-fp16-2025-06-30": _get_streaming_zipformer_ctc_pre_trained_model,
     "csukuangfj/sherpa-onnx-paraformer-zh-2024-03-09": _get_paraformer_pre_trained_model,
     "luomingshuang/icefall_asr_wenetspeech_pruned_transducer_stateless2": _get_wenetspeech_pre_trained_model,  # noqa
     "csukuangfj/sherpa-onnx-paraformer-zh-small-2024-03-09": _get_paraformer_pre_trained_model,