update Tibetan model

model.py

@@ -245,13 +245,20 @@ def _get_aidatatang_200zh_pretrained_mode(repo_id: str):
 @lru_cache(maxsize=10)
 def _get_tibetan_pre_trained_model(repo_id: str):
     assert repo_id in [
+        "syzym/icefall-asr-xbmu-amdo31-pruned-transducer-stateless7-2022-12-02",
         "syzym/icefall-asr-xbmu-amdo31-pruned-transducer-stateless5-2022-11-29",
     ], repo_id
 
-    nn_model_filename = _get_nn_model_filename(
-        repo_id=repo_id,
-        filename="cpu_jit-epoch-28-avg-23-torch-1.10.0.pt",
-    )
+    filename = "cpu_jit.pt"
+    if (
+        repo_id
+        == "syzym/icefall-asr-xbmu-amdo31-pruned-transducer-stateless5-2022-11-29"
+    ):
+        nn_model_filename = _get_nn_model_filename(
+            repo_id=repo_id,
+            filename="cpu_jit-epoch-28-avg-23-torch-1.10.0.pt",
+        )
+
     bpe_model_filename = _get_bpe_model_filename(repo_id=repo_id)
 
     return OfflineAsr(
@@ -285,6 +292,7 @@ chinese_english_mixed_models = {
 
 tibetan_models = {
     "syzym/icefall-asr-xbmu-amdo31-pruned-transducer-stateless5-2022-11-29": _get_tibetan_pre_trained_model,  # noqa
+    "syzym/icefall-asr-xbmu-amdo31-pruned-transducer-stateless7-2022-12-02": _get_tibetan_pre_trained_model,  # noqa
 }
 
 all_models = {