diff --git a/.circleci/deploy.sh b/.circleci/deploy.sh
index 0f5e171c22..8eed414e88 100755
--- a/.circleci/deploy.sh
+++ b/.circleci/deploy.sh
@@ -56,5 +56,5 @@ deploy_doc "eb0e0ce" v3.4.0
 deploy_doc "818878d" v3.5.1
 deploy_doc "c781171" v4.0.0
 deploy_doc "bfa4ccf" v4.1.1
-deploy_doc "7d9a9d0" # v4.2.1 Latest stable release
+deploy_doc "7d9a9d0" # v4.2.2 Latest stable release
 deploy_doc "4cd22r1" v4.3.0 # Pre-release
\ No newline at end of file
diff --git a/docs/source/_static/js/custom.js b/docs/source/_static/js/custom.js
index 0e9b0a2b70..b5d1265490 100644
--- a/docs/source/_static/js/custom.js
+++ b/docs/source/_static/js/custom.js
@@ -1,11 +1,11 @@
 // These two things need to be updated at each release for the version selector.
 // Last stable version
-const stableVersion = "v4.2.1"
+const stableVersion = "v4.2.2"
 // Dictionary doc folder to label. The last stable version should have an empty key.
 const versionMapping = {
     "master": "master",
     "v4.3.0": "v4.3.0 (pre)",
-    "": "v4.2.0/v4.2.1 (stable)",
+    "": "v4.2.0/v4.2.1/v4.2.2 (stable)",
     "v4.1.1": "v4.1.0/v4.1.1",
     "v4.0.1": "v4.0.0/v4.0.1",
     "v3.5.1": "v3.5.0/v3.5.1",
diff --git a/docs/source/main_classes/tokenizer.rst b/docs/source/main_classes/tokenizer.rst
index a676b6081d..3bd9b3a966 100644
--- a/docs/source/main_classes/tokenizer.rst
+++ b/docs/source/main_classes/tokenizer.rst
@@ -54,9 +54,9 @@ PreTrainedTokenizer
 
 .. autoclass:: transformers.PreTrainedTokenizer
     :special-members: __call__
-    :members:
-
-    .. automethod:: encode
+    :members: batch_decode, convert_ids_to_tokens, convert_tokens_to_ids, convert_tokens_to_string, decode, encode, 
+        get_added_vocab, get_special_tokens_mask, num_special_tokens_to_add, prepare_for_tokenization, tokenize,
+        vocab_size
 
 
 PreTrainedTokenizerFast
@@ -64,9 +64,9 @@ PreTrainedTokenizerFast
 
 .. autoclass:: transformers.PreTrainedTokenizerFast
     :special-members: __call__
-    :members:
-
-    .. automethod:: encode
+    :members: batch_decode, convert_ids_to_tokens, convert_tokens_to_ids, convert_tokens_to_string, decode, encode, 
+        get_added_vocab, get_special_tokens_mask, num_special_tokens_to_add,
+        set_truncation_and_padding,tokenize, vocab_size
 
 
 BatchEncoding
diff --git a/src/transformers/tokenization_utils.py b/src/transformers/tokenization_utils.py
index 0f2880e2ed..58aa2848ad 100644
--- a/src/transformers/tokenization_utils.py
+++ b/src/transformers/tokenization_utils.py
@@ -101,7 +101,7 @@ def _is_start_of_word(text):
     return bool(_is_control(first_char) | _is_punctuation(first_char) | _is_whitespace(first_char))
 
 
-@add_end_docstrings(INIT_TOKENIZER_DOCSTRING, """    .. automethod:: __call__""")
+@add_end_docstrings(INIT_TOKENIZER_DOCSTRING)
 class PreTrainedTokenizer(PreTrainedTokenizerBase):
     """
     Base class for all slow tokenizers.
diff --git a/src/transformers/tokenization_utils_base.py b/src/transformers/tokenization_utils_base.py
index 425942668c..85cee8f2c3 100644
--- a/src/transformers/tokenization_utils_base.py
+++ b/src/transformers/tokenization_utils_base.py
@@ -2056,7 +2056,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin):
                 Whether or not to add the special tokens associated with the corresponding model.
             kwargs (additional keyword arguments, `optional`):
                 Will be passed to the underlying model specific encode method. See details in
-                :meth:`~transformers.PreTrainedTokenizer.__call__`
+                :meth:`~transformers.PreTrainedTokenizerBase.__call__`
 
         Returns:
             :obj:`List[str]`: The list of tokens.
diff --git a/src/transformers/tokenization_utils_fast.py b/src/transformers/tokenization_utils_fast.py
index 4ee82a4552..34cc039908 100644
--- a/src/transformers/tokenization_utils_fast.py
+++ b/src/transformers/tokenization_utils_fast.py
@@ -56,12 +56,7 @@ TOKENIZER_CONFIG_FILE = "tokenizer_config.json"
 ADDED_TOKENS_FILE = "added_tokens.json"
 
 
-@add_end_docstrings(
-    INIT_TOKENIZER_DOCSTRING,
-    """
-    .. automethod:: __call__
-    """,
-)
+@add_end_docstrings(INIT_TOKENIZER_DOCSTRING)
 class PreTrainedTokenizerFast(PreTrainedTokenizerBase):
     """
     Base class for all fast tokenizers (wrapping HuggingFace tokenizers library).