Merge branch 'Document-Custom-Model-Files' of https://github.com/Para…

…gEkbote/lighteval into Document-Custom-Model-Files

src/lighteval/models/endpoints/endpoint_model.py

@@ -91,10 +91,10 @@ def from_path(cls, path: str) -> "ServerlessEndpointModelConfig":
 @dataclass
 class InferenceEndpointModelConfig:
     """
-    This class is designed to manage and define settings for deploying inference endpoints in machine learning models. 
+This class defines the settings used to deploy inference endpoints automatically. (Inference endpoint docs: https://huggingface.co/docs/inference-endpoints/index) 
 
     Attributes:
-    endpoint_name (str, optional):The name of the inference endpoint. 
+    endpoint_name (str, Optional): Inference endpoint name (to use at creation or reuse)
     model_name (str, optional): The name of the model for inference. 
     reuse_existing (bool, default: False): Indicates whether to reuse an existing endpoint.
     accelerator (str, default: "gpu"): Specifies the type of hardware accelerator.

src/lighteval/models/endpoints/openai_model.py

@@ -62,11 +62,10 @@
 @dataclass
 class OpenAIModelConfig:
     """
-    A configuration class for OpenAI models. This class is used to specify settings related to OpenAI models,
-    including the model name or identifier.
-
+    Configuration class to create an [[OpenAIModel]], to call via its API at inference for evaluation. 
+    
     Attributes:
-    model: It specifies the name or identifier of the OpenAI model to be used.
+    model: name or identifier of the OpenAI model to be used for inference.
     """
     model: str