Cleanup reference to TFBertTokenizer

docs/source/en/chat_response_parsing.md

@@ -74,15 +74,14 @@ messages = [
     }
 ]
 
-processed = tokenizer.apply_chat_template(
+input_ids = tokenizer.apply_chat_template(
     messages,
     add_generation_prompt=True,
     tokenize=True,
     return_tensors="pt"
-)
-input_ids = processed["input_ids"].to(model.device)
+).to(model.device)
 
-outputs = model.generate(input_ids, max_new_tokens=1024)[0, input_ids.shape[1] :]
+outputs = model.generate(input_ids, max_new_tokens=1024)[0, input_ids.shape[1]:]
 out_text = tokenizer.decode(outputs)
 parsed = tokenizer.parse_response(out_text)
 print(parsed.keys())

src/transformers/models/bert/__init__.py

@@ -22,7 +22,6 @@ if TYPE_CHECKING:
     from .modeling_bert import *
     from .tokenization_bert import *
     from .tokenization_bert_fast import *
-    from .tokenization_bert_tf import *
 else:
     import sys
 

utils/check_docstrings.py

@@ -111,7 +111,6 @@ OBJECTS_TO_IGNORE = {
     "InputFeatures",
     # Signature is *args/**kwargs
     "TFSequenceSummary",
-    "TFBertTokenizer",
     "TFGPT2Tokenizer",
     # Missing arguments in the docstring
     "ASTFeatureExtractor",