faker-ai-provider 1.0.2

Generate realistic AI/ML test data: 65+ models, 45+ companies, 25+ frameworks, 30+ datasets, architectures, tasks, and parameters

faker-ai-provider

Faker provider for generating AI/ML-related fake data.

Installation

pip install faker-ai-provider

Usage

from faker import Faker
from faker_ai import AiProvider

fake = Faker()
fake.add_provider(AiProvider)

fake.ai_model()           # 'GPT-4o'
fake.ai_company()         # 'Anthropic'
fake.ml_framework()       # 'PyTorch'
fake.ai_task()            # 'text-generation'
fake.ai_model_parameter() # '70B'
fake.ai_dataset()         # 'ImageNet'

Available Methods

Method	Example
ai_model()	GPT-4, Claude 3.5 Sonnet, LLaMA 3.1 405B
ai_company()	OpenAI, Anthropic, Google DeepMind
ai_model_architecture()	Transformer, Diffusion, Mamba
ml_framework()	PyTorch, TensorFlow, LangChain
ai_task()	text-generation, image-classification
ai_model_parameter()	7B, 70B, 405B, 1T
ai_dataset()	ImageNet, COCO, MMLU

License

MIT