> ## Documentation Index
> Fetch the complete documentation index at: https://training-docs.cerebras.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

## Model Zoo API

The Model Zoo API provides a robust set of reference layers for both transformers and vision models within the [`cerebras.modelzoo.layers`](../model-zoo/api/cerebras-modelzoo/cerebras-modelzoo-layers "cerebras.modelzoo.layers") module. This module serves as a foundational resource for building and customizing your own models.

For task-specific requirements, the Model Zoo API offers specialized modules. The [`cerebras.modelzoo.models.nlp`](../model-zoo/api/cerebras-modelzoo/cerebras-modelzoo-models/cerebras-modelzoo-models-nlp "cerebras.modelzoo.models.nlp") module includes layers and components tailored for natural language processing tasks, while the [`cerebras.modelzoo.models.vision`](../model-zoo/api/cerebras-modelzoo/cerebras-modelzoo-models/cerebras-modelzoo-models-vision "cerebras.modelzoo.models.vision") module caters to computer vision applications. These modules streamline the development process by offering pre-configured, high-performance layers designed to meet the unique demands of NLP and vision tasks.

## Trainer API

The Trainer API provides a simple but flexible interface to run any type of training and/or validation. The Trainer is designed to be easily extendable through the Callback mechanism and most of the Trainer’s core functionality is already implemented via a set of core callbacks available to users. Once configured, a training or validation loop can be run by simply calling `trainer.fit` or `trainer.validate`.