Add BlenderBot small tokenizer to the init (#13367)

* Add BlenderBot small tokenizer to the init

* Update src/transformers/__init__.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Style

* Bugfix
Co-authored-by: Suraj Patil <surajp815@gmail.com>

docs/source/index.rst

@@ -354,7 +354,7 @@ Flax), PyTorch, and/or TensorFlow.
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
 |         Blenderbot          |       ✅       |       ❌       |       ✅        |         ✅         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
-|       BlenderbotSmall       |       ✅       |       ❌       |       ✅        |         ✅         |      ❌      |
+|       BlenderbotSmall       |       ✅       |       ✅       |       ✅        |         ✅         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
 |          CamemBERT          |       ✅       |       ✅       |       ✅        |         ✅         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+

docs/source/model_doc/blenderbot_small.rst

@@ -57,6 +57,13 @@ BlenderbotSmallTokenizer
         create_token_type_ids_from_sequences, save_vocabulary
 
 
+BlenderbotSmallTokenizerFast
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.BlenderbotSmallTokenizerFast
+    :members:
+
+
 BlenderbotSmallModel
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 

src/transformers/__init__.py

@@ -370,6 +370,7 @@ if is_tokenizers_available():
     _import_structure["models.roformer"].append("RoFormerTokenizerFast")
     _import_structure["models.clip"].append("CLIPTokenizerFast")
     _import_structure["models.convbert"].append("ConvBertTokenizerFast")
+    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
     _import_structure["models.albert"].append("AlbertTokenizerFast")
     _import_structure["models.bart"].append("BartTokenizerFast")
     _import_structure["models.barthez"].append("BarthezTokenizerFast")
@@ -2182,6 +2183,7 @@ if TYPE_CHECKING:
         from .models.barthez import BarthezTokenizerFast
         from .models.bert import BertTokenizerFast
         from .models.big_bird import BigBirdTokenizerFast
+        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
         from .models.camembert import CamembertTokenizerFast
         from .models.clip import CLIPTokenizerFast
         from .models.convbert import ConvBertTokenizerFast

src/transformers/models/blenderbot_small/__init__.py

@@ -17,7 +17,7 @@
 # limitations under the License.
 from typing import TYPE_CHECKING
 
-from ...file_utils import _LazyModule, is_tf_available, is_torch_available
+from ...file_utils import _LazyModule, is_tf_available, is_tokenizers_available, is_torch_available
 
 
 _import_structure = {
@@ -25,6 +25,9 @@ _import_structure = {
     "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
 }
 
+if is_tokenizers_available():
+    _import_structure["tokenization_blenderbot_small_fast"] = ["BlenderbotSmallTokenizerFast"]
+
 if is_torch_available():
     _import_structure["modeling_blenderbot_small"] = [
         "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
@@ -45,6 +48,9 @@ if TYPE_CHECKING:
     from .configuration_blenderbot_small import BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP, BlenderbotSmallConfig
     from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
 
+    if is_tokenizers_available():
+        from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast
+
     if is_torch_available():
         from .modeling_blenderbot_small import (
             BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,

src/transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py

@@ -74,8 +74,8 @@ class BlenderbotSmallTokenizerFast(PreTrainedTokenizerFast):
     ):
         super().__init__(
             ByteLevelBPETokenizer(
-                vocab_file=vocab_file,
-                merges_file=merges_file,
+                vocab=vocab_file,
+                merges=merges_file,
                 add_prefix_space=add_prefix_space,
                 trim_offsets=trim_offsets,
             ),

src/transformers/utils/dummy_tokenizers_objects.py

@@ -47,6 +47,15 @@ class BigBirdTokenizerFast:
         requires_backends(cls, ["tokenizers"])
 
 
+class BlenderbotSmallTokenizerFast:
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["tokenizers"])
+
+    @classmethod
+    def from_pretrained(cls, *args, **kwargs):
+        requires_backends(cls, ["tokenizers"])
+
+
 class CamembertTokenizerFast:
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["tokenizers"])