From ba589e05c1448d0487198f8603cba247f22d67e1 Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期二, 27 二月 2024 10:43:27 +0800
Subject: [PATCH] Merge pull request #1393 from alibaba-damo-academy/dev_gzf

---
 funasr/auto/auto_model.py |   27 ++++++++++++++++-----------
 1 files changed, 16 insertions(+), 11 deletions(-)

diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 2cb2e1d..94d3172 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -162,8 +162,10 @@
             tokenizer_class = tables.tokenizer_classes.get(tokenizer)
             tokenizer = tokenizer_class(**kwargs["tokenizer_conf"])
             kwargs["tokenizer"] = tokenizer
-            kwargs["token_list"] = tokenizer.token_list
-            vocab_size = len(tokenizer.token_list)
+
+            kwargs["token_list"] = tokenizer.token_list if hasattr(tokenizer, "token_list") else None
+            kwargs["token_list"] = tokenizer.get_vocab() if hasattr(tokenizer, "get_vocab") else kwargs["token_list"]
+            vocab_size = len(kwargs["token_list"])
         else:
             vocab_size = -1
         
@@ -184,15 +186,18 @@
         # init_param
         init_param = kwargs.get("init_param", None)
         if init_param is not None:
-            logging.info(f"Loading pretrained params from {init_param}")
-            load_pretrained_model(
-                model=model,
-                path=init_param,
-                ignore_init_mismatch=kwargs.get("ignore_init_mismatch", False),
-                oss_bucket=kwargs.get("oss_bucket", None),
-                scope_map=kwargs.get("scope_map", None),
-                excludes=kwargs.get("excludes", None),
-            )
+            if os.path.exists(init_param):
+                logging.info(f"Loading pretrained params from {init_param}")
+                load_pretrained_model(
+                    model=model,
+                    path=init_param,
+                    ignore_init_mismatch=kwargs.get("ignore_init_mismatch", False),
+                    oss_bucket=kwargs.get("oss_bucket", None),
+                    scope_map=kwargs.get("scope_map", None),
+                    excludes=kwargs.get("excludes", None),
+                )
+            else:
+                print(f"error, init_param does not exist!: {init_param}")
         
         return model, kwargs
     

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