Update links in all configurations

src/transformers/configuration_albert.py

@@ -35,7 +35,7 @@ class AlbertConfig(PretrainedConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.AlbertModel`.
         It is used to instantiate an ALBERT 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 ALBERT xxlarge architecture.
+        the ALBERT `xxlarge <https://huggingface.co/albert-xxlarge-v2>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_bert.py

@@ -53,7 +53,7 @@ class BertConfig(PretrainedConfig):
         This is the configuration class to store the configuration of a :class:`~transformers.BertModel`.
         It is used to instantiate an BERT 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 BERT bert-base-uncased architecture.
+        the BERT `bert-base-uncased <https://huggingface.co/bert-base-uncased>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_camembert.py

@@ -33,7 +33,7 @@ class CamembertConfig(RobertaConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.CamembertModel`.
         It is used to instantiate an Camembert 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 BERT bert-base-uncased architecture.
+        the BERT `bert-base-uncased <https://huggingface.co/bert-base-uncased>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_ctrl.py

@@ -30,7 +30,7 @@ class CTRLConfig(PretrainedConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.CTRLModel`.
         It is used to instantiate an CTRL 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 CTRL architecture from SalesForce.
+        the `ctrl <https://huggingface.co/ctrl>`__ architecture from SalesForce.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_distilbert.py

@@ -35,7 +35,7 @@ class DistilBertConfig(PretrainedConfig):
         This is the configuration class to store the configuration of a :class:`~transformers.DistilBertModel`.
         It is used to instantiate a DistilBERT 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 DistilBERT distilbert-base-uncased architecture.
+        the DistilBERT `distilbert-base-uncased <https://huggingface.co/distilbert-base-uncased>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_gpt2.py

@@ -37,7 +37,7 @@ class GPT2Config(PretrainedConfig):
         This is the configuration class to store the configuration of a :class:`~transformers.GPT2Model`.
         It is used to instantiate an GPT-2 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 GPT-2 small architecture.
+        the GPT-2 `small <https://huggingface.co/gpt2>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_openai.py

@@ -33,7 +33,7 @@ class OpenAIGPTConfig(PretrainedConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.OpenAIGPTModel`.
         It is used to instantiate an GPT 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 GPT architecture from OpenAI.
+        the `GPT <https://huggingface.co/openai-gpt>`__ architecture from OpenAI.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_roberta.py

@@ -38,7 +38,7 @@ class RobertaConfig(BertConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.RobertaModel`.
         It is used to instantiate an RoBERTa 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 BERT bert-base-uncased architecture.
+        the BERT `bert-base-uncased <https://huggingface.co/bert-base-uncased>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`

src/transformers/configuration_transfo_xl.py

@@ -33,7 +33,7 @@ class TransfoXLConfig(PretrainedConfig):
         This is the configuration class to store the configuration of an :class:`~transformers.TransfoXLModel`.
         It is used to instantiate a Transformer XL 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 Transformer XL architecture.
+        the `Transformer XL <https://huggingface.co/transfo-xl-wt103>`__ architecture.
 
         Configuration objects inherit from  :class:`~transformers.PretrainedConfig` and can be used
         to control the model outputs. Read the documentation from  :class:`~transformers.PretrainedConfig`