documentation: some minor clean up (#16850)

docs/source/en/main_classes/tokenizer.mdx

@@ -18,9 +18,7 @@ Rust library [🤗 Tokenizers](https://github.com/huggingface/tokenizers). The "
 
 1. a significant speed-up in particular when doing batched tokenization and
 2. additional methods to map between the original string (character and words) and the token space (e.g. getting the
-   index of the token comprising a given character or the span of characters corresponding to a given token). Currently
-   no "Fast" implementation is available for the SentencePiece-based tokenizers (for T5, ALBERT, CamemBERT, XLM-RoBERTa
-   and XLNet models).
+   index of the token comprising a given character or the span of characters corresponding to a given token). 
 
 The base classes [`PreTrainedTokenizer`] and [`PreTrainedTokenizerFast`]
 implement the common methods for encoding string inputs in model inputs (see below) and instantiating/saving python and

src/transformers/models/deberta_v2/tokenization_deberta_v2.py

@@ -60,11 +60,11 @@ class DebertaV2Tokenizer(PreTrainedTokenizer):
             contains the vocabulary necessary to instantiate a tokenizer.
         do_lower_case (`bool`, *optional*, defaults to `False`):
             Whether or not to lowercase the input when tokenizing.
-        bos_token (`string`, *optional*, defaults to "[CLS]"):
+        bos_token (`string`, *optional*, defaults to `"[CLS]"`):
             The beginning of sequence token that was used during pre-training. Can be used a sequence classifier token.
             When building a sequence using special tokens, this is not the token that is used for the beginning of
             sequence. The token used is the `cls_token`.
-        eos_token (`string`, *optional*, defaults to "[SEP]"):
+        eos_token (`string`, *optional*, defaults to `"[SEP]"`):
             The end of sequence token. When building a sequence using special tokens, this is not the token that is
             used for the end of sequence. The token used is the `sep_token`.
         unk_token (`str`, *optional*, defaults to `"[UNK]"`):

utils/documentation_tests.txt

@@ -59,3 +59,4 @@ src/transformers/models/wav2vec2/modeling_wav2vec2.py
 src/transformers/models/wav2vec2/tokenization_wav2vec2.py
 src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py
 src/transformers/models/wavlm/modeling_wavlm.py
+src/transformers/models/ctrl/modeling_ctrl.py