diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py
index 6b9aa256fa3..b4c21a6b0cc 100755
--- a/src/transformers/__init__.py
+++ b/src/transformers/__init__.py
@@ -118,7 +118,7 @@ from .pipelines import (
 # Tokenizers
 from .tokenization_albert import AlbertTokenizer
 from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer
-from .tokenization_bart import BartTokenizer, MBartTokenizer
+from .tokenization_bart import BartTokenizer, BartTokenizerFast, MBartTokenizer
 from .tokenization_bert import BasicTokenizer, BertTokenizer, BertTokenizerFast, WordpieceTokenizer
 from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
 from .tokenization_camembert import CamembertTokenizer
diff --git a/src/transformers/tokenization_bart.py b/src/transformers/tokenization_bart.py
index e272281d898..e2297aa8d68 100644
--- a/src/transformers/tokenization_bart.py
+++ b/src/transformers/tokenization_bart.py
@@ -16,7 +16,7 @@
 import logging
 from typing import List, Optional
 
-from .tokenization_roberta import RobertaTokenizer
+from .tokenization_roberta import RobertaTokenizer, RobertaTokenizerFast
 from .tokenization_utils import BatchEncoding
 from .tokenization_xlm_roberta import XLMRobertaTokenizer
 
@@ -44,6 +44,15 @@ class BartTokenizer(RobertaTokenizer):
     }
 
 
+class BartTokenizerFast(RobertaTokenizerFast):
+    # merges and vocab same as Roberta
+    max_model_input_sizes = {m: 1024 for m in _all_bart_models}
+    pretrained_vocab_files_map = {
+        "vocab_file": {m: vocab_url for m in _all_bart_models},
+        "merges_file": {m: merges_url for m in _all_bart_models},
+    }
+
+
 _all_mbart_models = ["facebook/mbart-large-en-ro"]
 SPM_URL = "https://s3.amazonaws.com/models.huggingface.co/bert/facebook/mbart-large-en-ro/sentence.bpe.model"