add a new model

model.py

@@ -1589,6 +1589,7 @@ def _get_sherpa_onnx_nemo_transducer_models_int8(
         "csukuangfj/sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8",
         "csukuangfj/sherpa-onnx-nemo-transducer-stt_de_fastconformer_hybrid_large_pc-int8",
         "csukuangfj/sherpa-onnx-nemo-transducer-stt_pt_fastconformer_hybrid_large_pc-int8",
+        "csukuangfj2/sherpa-onnx-nemo-parakeet-unified-en-0.6b-int8-non-streaming",
     ], repo_id
 
     encoder_model = _get_nn_model_filename(
@@ -2575,6 +2576,7 @@ english_models = {
     "csukuangfj/sherpa-onnx-nemo-parakeet_tdt_ctc_110m-en-36000": _get_sherpa_onnx_nemo_ctc_models,
     "csukuangfj/sherpa-onnx-nemo-parakeet_tdt_transducer_110m-en-36000": _get_sherpa_onnx_nemo_transducer_models,
     "csukuangfj/sherpa-onnx-streaming-zipformer-en-kroko-2025-08-06": _get_streaming_transducer,
+    "csukuangfj2/sherpa-onnx-nemo-parakeet-unified-en-0.6b-int8-non-streaming": _get_sherpa_onnx_nemo_transducer_models_int8,
     #  "whisper-medium.en": _get_whisper_model,
     "csukuangfj/sherpa-onnx-zipformer-en-libriheavy-20230926-large": _get_sherpa_onnx_offline_zipformer_pre_trained_model,
     "csukuangfj/sherpa-onnx-zipformer-en-libriheavy-20230926-medium": _get_sherpa_onnx_offline_zipformer_pre_trained_model,