fix(server): fix typo in tokenizers decode (#269)

closes #268

server/text_generation_server/models/causal_lm.py

@@ -490,7 +490,7 @@ class CausalLM(Model):
 
     def decode(self, generated_ids: List[int]) -> str:
         return self.tokenizer.decode(
-            generated_ids, skip_special_tokens=True, cleanup_tokenization_spaces=False
+            generated_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False
         )
 
     def forward(

server/text_generation_server/models/flash_causal_lm.py

@@ -402,7 +402,7 @@ class FlashCausalLM(Model):
 
     def decode(self, generated_ids: Union[torch.Tensor, List[int]]) -> str:
         return self.tokenizer.decode(
-            generated_ids, skip_special_tokens=True, cleanup_tokenization_spaces=False
+            generated_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False
         )
 
     def forward(

server/text_generation_server/models/flash_santacoder.py

@@ -165,7 +165,7 @@ class FlashSantacoder(FlashCausalLM):
     def decode(self, generated_ids: List[int]) -> str:
         # Do not skip special tokens as they are used for custom parsing rules of the generated text
         return self.tokenizer.decode(
-            generated_ids, skip_special_tokens=False, cleanup_tokenization_spaces=False
+            generated_ids, skip_special_tokens=False, clean_up_tokenization_spaces=False
         )
 
 

server/text_generation_server/models/galactica.py

@@ -173,7 +173,7 @@ class Galactica(OPT):
     def decode(self, generated_ids: List[int]) -> str:
         # Do not skip special tokens as they are used for custom parsing rules of the generated text
         return self.tokenizer.decode(
-            generated_ids, skip_special_tokens=False, cleanup_tokenization_spaces=False
+            generated_ids, skip_special_tokens=False, clean_up_tokenization_spaces=False
         )
 
     def forward(

server/text_generation_server/models/santacoder.py

@@ -64,5 +64,5 @@ class SantaCoder(CausalLM):
     def decode(self, generated_ids: List[int]) -> str:
         # Do not skip special tokens as they are used for custom parsing rules of the generated text
         return self.tokenizer.decode(
-            generated_ids, skip_special_tokens=False, cleanup_tokenization_spaces=False
+            generated_ids, skip_special_tokens=False, clean_up_tokenization_spaces=False
         )