From e524e0e8f0ebeaff1ccede3d8f284f0592f55b7c Mon Sep 17 00:00:00 2001
From: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Date: Fri, 21 Jan 2022 15:49:16 +0100
Subject: [PATCH] Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
---
 docs/source/model_doc/convnext.mdx                         | 4 ++--
 src/transformers/__init__.py                               | 2 --
 src/transformers/models/convnext/configuration_convnext.py | 4 ++--
 3 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/docs/source/model_doc/convnext.mdx b/docs/source/model_doc/convnext.mdx
index b1b215554bc0c1..0c799b342eea37 100644
--- a/docs/source/model_doc/convnext.mdx
+++ b/docs/source/model_doc/convnext.mdx
@@ -29,9 +29,9 @@ and outperforming Swin Transformers on COCO detection and ADE20K segmentation, w
 
 Tips:
 
-- One can use the ['AutoFeatureExtractor`] API to prepare images for the model.
+- One can use the [`AutoFeatureExtractor`] API to prepare images for the model.
 
-This model was contributed by [nielsr](<https://huggingface.co/nielsr). The original code can be found [here](https://github.com/facebookresearch/ConvNeXt).
+This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code can be found [here](https://github.com/facebookresearch/ConvNeXt).
 
 ## ConvNextConfig
 
diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py
index 50d960949dd47c..8176a9226de3d4 100755
--- a/src/transformers/__init__.py
+++ b/src/transformers/__init__.py
@@ -634,7 +634,6 @@
     _import_structure["modeling_utils"] = ["Conv1D", "PreTrainedModel", "apply_chunking_to_forward", "prune_layer"]
 
     # PyTorch models structure
-
     _import_structure["models.albert"].extend(
         [
             "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
@@ -2671,7 +2670,6 @@
         from .utils.dummy_pytorch_quantization_and_torch_objects import *
 
     if is_torch_available():
-
         # Benchmarks
         from .benchmark.benchmark import PyTorchBenchmark
         from .benchmark.benchmark_args import PyTorchBenchmarkArguments
diff --git a/src/transformers/models/convnext/configuration_convnext.py b/src/transformers/models/convnext/configuration_convnext.py
index e396abf7db9a37..1cd1d13649193f 100644
--- a/src/transformers/models/convnext/configuration_convnext.py
+++ b/src/transformers/models/convnext/configuration_convnext.py
@@ -28,7 +28,7 @@
 
 class ConvNextConfig(PretrainedConfig):
     r"""
-    This is the configuration class to store the configuration of a [`~ConvNextModel`]. It is used to instantiate an
+    This is the configuration class to store the configuration of a [`ConvNextModel`]. It is used to instantiate an
     ConvNeXT model according to the specified arguments, defining the model architecture. Instantiating a configuration
     with the defaults will yield a similar configuration to that of the ConvNeXT
     [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) architecture.
@@ -37,7 +37,7 @@ class ConvNextConfig(PretrainedConfig):
     documentation from [`PretrainedConfig`] for more information.
 
     Args:
-        num_channels (`int`, *optional*, defaults to `3`):
+        num_channels (`int`, *optional*, defaults to 3):
             The number of input channels.
         num_stages (`int`, optional, defaults to 4):
             The number of stages in the model.