Add zipformer

model.py

@@ -123,11 +123,16 @@ def _get_gigaspeech_pre_trained_model(repo_id: str) -> OfflineAsr:
 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
     ], repo_id
 
+    filename = "cpu_jit.pt"
+    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(
         repo_id=repo_id,
-        filename="cpu_jit.pt",
+        filename=filename,
     )
     bpe_model_filename = _get_bpe_model_filename(repo_id=repo_id)
 
@@ -234,6 +239,7 @@ chinese_models = {
 
 english_models = {
     "wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2": _get_gigaspeech_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
 }