Import protection.

Author: Narsil

src/transformers/pipelines/question_answering.py

@@ -5,12 +5,17 @@
 
 import numpy as np
 
-import tokenizers
-
 from ..data import SquadExample, SquadFeatures, squad_convert_examples_to_features
 from ..modelcard import ModelCard
 from ..tokenization_utils import PreTrainedTokenizer
-from ..utils import PaddingStrategy, add_end_docstrings, is_tf_available, is_torch_available, logging
+from ..utils import (
+    PaddingStrategy,
+    add_end_docstrings,
+    is_tf_available,
+    is_tokenizers_available,
+    is_torch_available,
+    logging,
+)
 from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
 
 
@@ -20,6 +25,9 @@
     from ..modeling_tf_utils import TFPreTrainedModel
     from ..modeling_utils import PreTrainedModel
 
+    if is_tokenizers_available():
+        import tokenizers
+
 if is_tf_available():
     import tensorflow as tf