update vi

model.py

@@ -397,39 +397,36 @@ def _get_offline_pre_trained_model(
 def _get_vietnamese_pretrained_model(
     repo_id: str, decoding_method: str, num_active_paths: int
 ) -> sherpa_onnx.OfflineRecognizer:
-    assert repo_id in (
-        "csukuangfj/sherpa-onnx-zipformer-vi-int8-2025-04-20",
-        "csukuangfj/sherpa-onnx-zipformer-vi-2025-04-20",
-    ), repo_id
 
     decoder_model = _get_nn_model_filename(
         repo_id=repo_id,
-        filename="decoder-epoch-12-avg-8.onnx",
+        filename="decoder-epoch-20-avg-1.onnx",
         subfolder=".",
     )
 
-    if repo_id == "csukuangfj/sherpa-onnx-zipformer-vi-int8-2025-04-20":
+    if repo_id == "Audrey178/Vietasr-finetunning":
         encoder_model = _get_nn_model_filename(
             repo_id=repo_id,
-            filename="encoder-epoch-12-avg-8.int8.onnx",
+            filename="encoder-epoch-20-avg-1.int8.onnx",
             subfolder=".",
         )
 
         joiner_model = _get_nn_model_filename(
             repo_id=repo_id,
-            filename="joiner-epoch-12-avg-8.int8.onnx",
+            filename="joiner-epoch-20-avg-1.int8.onnx",
             subfolder=".",
         )
-    elif repo_id == "csukuangfj/sherpa-onnx-zipformer-vi-2025-04-20":
+    elif repo_id == "Audrey178/Vietasr-finetunning-non-int8":
+        repo_id = "Audrey178/Vietasr-finetunning"
         encoder_model = _get_nn_model_filename(
             repo_id=repo_id,
-            filename="encoder-epoch-12-avg-8.onnx",
+            filename="encoder-epoch-20-avg-1.onnx",
             subfolder=".",
         )
 
         joiner_model = _get_nn_model_filename(
             repo_id=repo_id,
-            filename="joiner-epoch-12-avg-8.onnx",
+            filename="joiner-epoch-20-avg-1.onnx",
             subfolder=".",
         )
     else:
@@ -2513,8 +2510,8 @@ thai_models = {
 }
 
 vietnamese_models = {
-    "csukuangfj/sherpa-onnx-zipformer-vi-int8-2025-04-20": _get_vietnamese_pretrained_model,
-    "csukuangfj/sherpa-onnx-zipformer-vi-2025-04-20": _get_vietnamese_pretrained_model,
+    "Audrey178/Vietasr-finetunning": _get_vietnamese_pretrained_model,
+    "Audrey178/Vietasr-finetunning-non-int8": _get_vietnamese_pretrained_model,
 }
 
 portuguese_brazlian_models = {
@@ -2553,30 +2550,5 @@ all_models = {
 }
 
 language_to_models = {
-    "Medical dictation English": list(medical_english_models.keys()),
-    "31 languages (FunASR Nano)": list(funsar_nano_31_languages_models.keys()),
-    "1600+ languages": list(more_than_1600_languages_models.keys()),
-    "25 European languages": list(twenty_five_languages_models.keys()),
-    "Multi-lingual (east aisa)": list(multi_lingual_models.keys()),
-    "超多种中文方言": list(chinese_dialect_models.keys()),
-    "Chinese": list(chinese_models.keys()),
-    "English": list(english_models.keys()),
-    "四川话": list(sichuan_models.keys()),
-    "Chinese+English": list(chinese_english_mixed_models.keys()),
-    "Chinese+English+Cantonese": list(chinese_cantonese_english_models.keys()),
-    "Chinese+English+Cantonese+Japanese+Korean": list(
-        chinese_cantonese_english_japanese_korean_models.keys()
-    ),
-    "Arabic": list(arabic_models.keys()),
-    "Cantonese": list(cantonese_models.keys()),
-    "French": list(french_models.keys()),
-    "German": list(german_models.keys()),
-    "Japanese": list(japanese_models.keys()),
-    "Korean": list(korean_models.keys()),
-    "Portuguese (Brazil)": list(portuguese_brazlian_models.keys()),
-    "Russian": list(russian_models.keys()),
-    "Spanish": list(spanish_models.keys()),
-    "Thai": list(thai_models.keys()),
-    "Tibetan": list(tibetan_models.keys()),
     "Vietnamese": list(vietnamese_models.keys()),
 }