Kerdos
Documentation

Kerdos AI Documentation

A powerful Python library for text generation using state-of-the-art language models

Installation
Choose your preferred installation method

Using pip

pip install kerdosai

Install directly from PyPI

Using git

pip install git+https://github.com/kerdosdotio/kerdosai.git

Install from GitHub repository

Quick Start
Get started with Kerdos AI in minutes

Basic Usage

from kerdosai import KerdosAI

# Initialize the model
model = KerdosAI()

# Generate text
response = model.generate("Hello, how are you?")
print(response)

Simple text generation example

Advanced Configuration

from kerdosai import KerdosAI

# Initialize with custom parameters
model = KerdosAI(
    max_length=100,
    temperature=0.7,
    top_p=0.9
)

# Generate with specific settings
response = model.generate(
    "Write a story about",
    max_length=200,
    temperature=0.8
)
print(response)

Advanced configuration example

API Reference
Detailed documentation of available classes and methods

KerdosAI Class

__init__Initialize the KerdosAI model
Parameters:
  • max_length(int)
    Maximum length of generated text
    Default: 100
  • temperature(float)
    Sampling temperature
    Default: 0.7
  • top_p(float)
    Nucleus sampling parameter
    Default: 0.9
generateGenerate text from a prompt
Parameters:
  • prompt(str)
    Input text prompt
  • max_length(int)
    Override default max_length
    Optional.
  • temperature(float)
    Override default temperature
    Optional.
  • top_p(float)
    Override default top_p
    Optional.
Returns:

str

Features
Key capabilities of the Kerdos AI library

Text Generation

Generate high-quality text using state-of-the-art language models

Custom Parameters

Fine-tune generation with temperature, top_p, and other parameters

Easy Integration

Simple API for seamless integration into your applications

Documentation

Comprehensive documentation and examples

Resources
Additional resources and links
Hugging Face RepositoryPyPI Package