add a new model (zipformer + multidataset)

model.py

@@ -124,10 +124,14 @@ def _get_librispeech_pre_trained_model(repo_id: str) -> OfflineAsr:
     assert repo_id in [
         "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless3-2022-05-13",  # noqa
         "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless7-2022-11-11",  # noqa
+        "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless8-2022-11-14",  # noqa
     ], repo_id
 
     filename = "cpu_jit.pt"
-    if repo_id == "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless7-2022-11-11":
+    if (
+        repo_id
+        == "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless7-2022-11-11"
+    ):
         filename = "cpu_jit-torch-1.10.0.pt"
 
     nn_model_filename = _get_nn_model_filename(
@@ -239,6 +243,7 @@ chinese_models = {
 
 english_models = {
     "wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2": _get_gigaspeech_pre_trained_model,  # noqa
+    "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless8-2022-11-14": _get_librispeech_pre_trained_model,  # noqa
     "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless7-2022-11-11": _get_librispeech_pre_trained_model,  # noqa
     "csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless3-2022-05-13": _get_librispeech_pre_trained_model,  # noqa
 }