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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
huggingface · Jan 21, 2022 · e524e0e · e524e0e
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diff --git 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
@@ -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
@@ -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.