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docs/xinfer.md

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 # xinfer module
 
-::: xinfer.list_models
+The `xinfer` module provides a flexible and extensible framework for working with various AI models, particularly focusing on vision-language models like BLIP2.
+
+## Main Functions
+
+### list_models
+
+::: xinfer.list_models
+
+This function displays a table of all available models in the ModelRegistry. It uses the Rich library to create a formatted table with two columns: "Implementation" and "Model Type".
+
+### get_model
+
+::: xinfer.get_model
+
+This function retrieves a model instance based on the specified model type and implementation. It returns an instance of a class that inherits from `BaseModel`.
+
+Parameters:
+- `model_type` (str): The type of the model to retrieve.
+- `implementation` (str): The implementation of the model.
+- `**kwargs`: Additional keyword arguments to pass to the model constructor.
+
+Returns:
+- An instance of the requested model.
+
+Raises:
+- `ValueError`: If the specified implementation or model type is not supported.
+
+## Model Registry
+
+The `ModelRegistry` class manages the registration and retrieval of models. It provides the following class methods:
+
+### register
+
+::: xinfer.ModelRegistry.register
+
+This method registers a model class with the ModelRegistry.
+
+
+