[Doctest] OpenAIGPTConfig and OPTConfig (#19763)

src/transformers/models/openai/configuration_openai.py

@@ -105,7 +105,7 @@ class OpenAIGPTConfig(PretrainedConfig):
     >>> # Initializing a GPT configuration
     >>> configuration = OpenAIGPTConfig()
 
-    >>> # Initializing a model from the configuration
+    >>> # Initializing a model (with random weights) from the configuration
     >>> model = OpenAIGPTModel(configuration)
 
     >>> # Accessing the model configuration

src/transformers/models/opt/configuration_opt.py

@@ -78,12 +78,12 @@ class OPTConfig(PretrainedConfig):
     Example:
 
     ```python
-    >>> from transformers import OPTModel, OPTConfig
+    >>> from transformers import OPTConfig, OPTModel
 
     >>> # Initializing a OPT facebook/opt-large style configuration
     >>> configuration = OPTConfig()
 
-    >>> # Initializing a model from the facebook/opt-large style configuration
+    >>> # Initializing a model (with random weights) from the facebook/opt-large style configuration
     >>> model = OPTModel(configuration)
 
     >>> # Accessing the model configuration

utils/documentation_tests.txt

@@ -95,6 +95,8 @@ src/transformers/models/mobilebert/modeling_mobilebert.py
 src/transformers/models/mobilebert/modeling_tf_mobilebert.py
 src/transformers/models/mobilevit/modeling_mobilevit.py
 src/transformers/models/mobilevit/modeling_tf_mobilevit.py
+src/transformers/models/openai/configuration_openai.py 
+src/transformers/models/opt/configuration_opt.py
 src/transformers/models/opt/modeling_opt.py
 src/transformers/models/opt/modeling_tf_opt.py
 src/transformers/models/owlvit/modeling_owlvit.py