Update model.py

model.py

@@ -523,22 +523,22 @@ def _get_revolab_pretrained_model(
 
         encoder_model = _get_nn_model_filename(
             repo_id=real_repo,
-            filename="encoder-epoch-17-avg-1.onnx",
-            subfolder="zipformer-large-finetune-SFO/export",
+            filename="encoder-epoch-6-avg-1.onnx",
+            subfolder="zipformer-large-finetune-CTC/export",
         )
         decoder_model = _get_nn_model_filename(
             repo_id=real_repo,
-            filename="decoder-epoch-17-avg-1.onnx",
-            subfolder="zipformer-large-finetune-SFO/export",
+            filename="decoder-epoch-6-avg-1.onnx",
+            subfolder="zipformer-large-finetune-CTC/export",
         )
 
         joiner_model = _get_nn_model_filename(
             repo_id=real_repo,
-            filename="joiner-epoch-17-avg-1.onnx",
-            subfolder="zipformer-large-finetune-SFO/export",
+            filename="joiner-epoch-6-avg-1.onnx",
+            subfolder="zipformer-large-finetune-CTC/export",
         )
 
-        tokens = _get_token_filename(repo_id=real_repo, subfolder="zipformer-large-20k/exp/lang_bpe_500")
+        tokens = _get_token_filename(repo_id=real_repo, subfolder="zipformer-large-finetune-CTC/exp/lang_bpe_500")
 
         recognizer = sherpa_onnx.OfflineRecognizer.from_transducer(
             tokens=tokens,