refactor can_save_slow_tokenizer (huggingface#37722)

itazap · rgtjf · commit 69dfee1bc9b3 · 2025-06-10T13:13:14.000Z
* refactor to rm property can_save_slow_tokenizer, it can be done within the if of save_vocab

* move property to fast

* revert if

* check if vocab_file is attr

* fix check for sp

* fix if condition

* fix if condition

* fix if condition
diff --git a/src/transformers/models/albert/tokenization_albert_fast.py b/src/transformers/models/albert/tokenization_albert_fast.py
@@ -130,10 +130,6 @@ def __init__(
         self.keep_accents = keep_accents
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/barthez/tokenization_barthez_fast.py b/src/transformers/models/barthez/tokenization_barthez_fast.py
@@ -122,10 +122,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/big_bird/tokenization_big_bird_fast.py b/src/transformers/models/big_bird/tokenization_big_bird_fast.py
@@ -119,10 +119,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/camembert/tokenization_camembert_fast.py b/src/transformers/models/camembert/tokenization_camembert_fast.py
@@ -125,10 +125,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/code_llama/tokenization_code_llama_fast.py b/src/transformers/models/code_llama/tokenization_code_llama_fast.py
@@ -168,10 +168,6 @@ def __init__(
         self._eot_token = eot_token
         self.fill_token = fill_token
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     # Copied from transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast.update_post_processor
     def update_post_processor(self):
         """
diff --git a/src/transformers/models/cpm/tokenization_cpm_fast.py b/src/transformers/models/cpm/tokenization_cpm_fast.py
@@ -144,10 +144,6 @@ def __init__(
         self.jieba = jieba
         self.translator = str.maketrans(" \n", "\u2582\u2583")
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     # Copied from transformers.models.xlnet.tokenization_xlnet_fast.XLNetTokenizerFast.build_inputs_with_special_tokens
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
diff --git a/src/transformers/models/deberta_v2/tokenization_deberta_v2_fast.py b/src/transformers/models/deberta_v2/tokenization_deberta_v2_fast.py
@@ -119,10 +119,6 @@ def __init__(
         self.split_by_punct = split_by_punct
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
         """
         Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
diff --git a/src/transformers/models/deprecated/xlm_prophetnet/tokenization_xlm_prophetnet.py b/src/transformers/models/deprecated/xlm_prophetnet/tokenization_xlm_prophetnet.py
@@ -169,10 +169,6 @@ def __init__(
             **kwargs,
         )
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def __getstate__(self):
         state = self.__dict__.copy()
         state["sp_model"] = None
diff --git a/src/transformers/models/fnet/tokenization_fnet_fast.py b/src/transformers/models/fnet/tokenization_fnet_fast.py
@@ -113,10 +113,6 @@ def __init__(
         self.keep_accents = keep_accents
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/gemma/tokenization_gemma_fast.py b/src/transformers/models/gemma/tokenization_gemma_fast.py
@@ -114,10 +114,6 @@ def __init__(
         self.update_post_processor()
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     # Copied from transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast.update_post_processor
     def update_post_processor(self):
         """
diff --git a/src/transformers/models/layoutxlm/tokenization_layoutxlm_fast.py b/src/transformers/models/layoutxlm/tokenization_layoutxlm_fast.py
@@ -260,10 +260,6 @@ def __init__(
         self.pad_token_label = pad_token_label
         self.only_label_first_subword = only_label_first_subword
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @add_end_docstrings(LAYOUTXLM_ENCODE_KWARGS_DOCSTRING)
     def __call__(
         self,
diff --git a/src/transformers/models/llama/tokenization_llama_fast.py b/src/transformers/models/llama/tokenization_llama_fast.py
@@ -171,10 +171,6 @@ def __init__(
         self.use_default_system_prompt = use_default_system_prompt
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def update_post_processor(self):
         """
         Updates the underlying post processor with the current `bos_token` and `eos_token`.
diff --git a/src/transformers/models/mbart/tokenization_mbart_fast.py b/src/transformers/models/mbart/tokenization_mbart_fast.py
@@ -123,10 +123,6 @@ def __init__(
         self.tgt_lang = tgt_lang
         self.set_src_lang_special_tokens(self._src_lang)
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @property
     def src_lang(self) -> str:
         return self._src_lang
diff --git a/src/transformers/models/mbart50/tokenization_mbart50_fast.py b/src/transformers/models/mbart50/tokenization_mbart50_fast.py
@@ -137,10 +137,6 @@ def __init__(
         self.cur_lang_code_id = self.lang_code_to_id[self._src_lang]
         self.set_src_lang_special_tokens(self._src_lang)
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @property
     def src_lang(self) -> str:
         return self._src_lang
diff --git a/src/transformers/models/nllb/tokenization_nllb_fast.py b/src/transformers/models/nllb/tokenization_nllb_fast.py
@@ -166,10 +166,6 @@ def __init__(
         self.tgt_lang = tgt_lang
         self.set_src_lang_special_tokens(self._src_lang)
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @property
     def src_lang(self) -> str:
         return self._src_lang
diff --git a/src/transformers/models/pegasus/tokenization_pegasus_fast.py b/src/transformers/models/pegasus/tokenization_pegasus_fast.py
@@ -148,10 +148,6 @@ def __init__(
         )
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def _special_token_mask(self, seq):
         all_special_ids = set(self.all_special_ids)  # call it once instead of inside list comp
         all_special_ids.remove(self.unk_token_id)  # <unk> is only sometimes special
diff --git a/src/transformers/models/reformer/tokenization_reformer_fast.py b/src/transformers/models/reformer/tokenization_reformer_fast.py
@@ -91,10 +91,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]:
         if not self.can_save_slow_tokenizer:
             raise ValueError(
diff --git a/src/transformers/models/rembert/tokenization_rembert_fast.py b/src/transformers/models/rembert/tokenization_rembert_fast.py
@@ -125,10 +125,6 @@ def __init__(
         self.keep_accents = keep_accents
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/seamless_m4t/tokenization_seamless_m4t_fast.py b/src/transformers/models/seamless_m4t/tokenization_seamless_m4t_fast.py
@@ -151,10 +151,6 @@ def __init__(
         self.set_src_lang_special_tokens(self._src_lang)
         self.set_tgt_lang_special_tokens(self._tgt_lang)
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @property
     # Copied from transformers.models.nllb.tokenization_nllb.NllbTokenizer.src_lang
     def src_lang(self) -> str:
diff --git a/src/transformers/models/t5/tokenization_t5_fast.py b/src/transformers/models/t5/tokenization_t5_fast.py
@@ -131,10 +131,6 @@ def __init__(
         self.vocab_file = vocab_file
         self._extra_ids = extra_ids
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @staticmethod
     def _eventually_correct_t5_max_length(pretrained_model_name_or_path, max_model_length, init_max_model_length):
         if pretrained_model_name_or_path in T5TokenizerFast.max_model_input_sizes:
diff --git a/src/transformers/models/udop/tokenization_udop_fast.py b/src/transformers/models/udop/tokenization_udop_fast.py
@@ -234,10 +234,6 @@ def __init__(
         self.pad_token_label = pad_token_label
         self.only_label_first_subword = only_label_first_subword
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     @add_end_docstrings(UDOP_ENCODE_KWARGS_DOCSTRING)
     def __call__(
         self,
diff --git a/src/transformers/models/xglm/tokenization_xglm_fast.py b/src/transformers/models/xglm/tokenization_xglm_fast.py
@@ -120,10 +120,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py b/src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py
@@ -120,10 +120,6 @@ def __init__(
 
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/models/xlnet/tokenization_xlnet_fast.py b/src/transformers/models/xlnet/tokenization_xlnet_fast.py
@@ -152,10 +152,6 @@ def __init__(
         self.keep_accents = keep_accents
         self.vocab_file = vocab_file
 
-    @property
-    def can_save_slow_tokenizer(self) -> bool:
-        return os.path.isfile(self.vocab_file) if self.vocab_file else False
-
     def build_inputs_with_special_tokens(
         self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
     ) -> List[int]:
diff --git a/src/transformers/tokenization_utils_fast.py b/src/transformers/tokenization_utils_fast.py
@@ -226,10 +226,16 @@ def is_fast(self) -> bool:
     @property
     def can_save_slow_tokenizer(self) -> bool:
         """
-        `bool`: Whether or not the slow tokenizer can be saved. Usually for sentencepiece based slow tokenizer, this
+        `bool`: Whether or not the slow tokenizer can be saved. For a sentencepiece based slow tokenizer, this
         can only be `True` if the original `"sentencepiece.model"` was not deleted.
         """
-        return True
+        if "vocab_file" in self.vocab_files_names and self.vocab_files_names["vocab_file"].endswith(".model"):
+            if hasattr(self, "vocab_file") and self.vocab_file:
+                # If the vocab file is a sentencepiece model, we can save it
+                return os.path.isfile(self.vocab_file)
+            return False
+        else:
+            return True
 
     @property
     def vocab_size(self) -> int:
