Metadata-Version: 2.4
Name: faker-ai-provider
Version: 1.0.2
Summary: Generate realistic AI/ML test data: 65+ models, 45+ companies, 25+ frameworks, 30+ datasets, architectures, tasks, and parameters
License: MIT
Project-URL: Homepage, https://github.com/rodrigobnogueira/faker-ai
Project-URL: Repository, https://github.com/rodrigobnogueira/faker-ai
Keywords: faker,ai,ml,machine-learning,fake-data,testing
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: faker>=18.0.0
Dynamic: license-file

# faker-ai-provider

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

## Installation

```bash
pip install faker-ai-provider
```

## Usage

```python
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
