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

Features
Key features 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

API Reference
Detailed documentation of the Kerdos AI API

KerdosAI Class

__init__(Initialize the KerdosAI model)
Parameters:
  • max_length (int) (default: 100)
    Maximum length of generated text
  • temperature (float) (default: 0.7)
    Sampling temperature
  • top_p (float) (default: 0.9)
    Nucleus sampling parameter
generate(Generate text from a prompt)
Parameters:
  • prompt (str)
    Input text prompt
  • max_length (int) (optional)
    Override default max_length
  • temperature (float) (optional)
    Override default temperature
  • top_p (float) (optional)
    Override default top_p
Returns:

str

Resources
Additional resources and links
Hugging Face RepositoryPyPI Package