Skip to main content

Faker provider for generating AI/ML-related fake data

Project description

faker-ai

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

Installation

pip install faker-ai

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

faker_ai_provider-1.0.0.tar.gz (4.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

faker_ai_provider-1.0.0-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file faker_ai_provider-1.0.0.tar.gz.

File metadata

  • Download URL: faker_ai_provider-1.0.0.tar.gz
  • Upload date:
  • Size: 4.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for faker_ai_provider-1.0.0.tar.gz
Algorithm Hash digest
SHA256 f910e69d58600e5dab4bdafcd58d7a0b37fb98325f46efaf4ac9a797d0c308f3
MD5 fd3b52febf36b7028245cf294e176f99
BLAKE2b-256 4b205c1b2f6f2048d37173bfcd1c4985c2955ac8648bd546dbacf637af99db7a

See more details on using hashes here.

File details

Details for the file faker_ai_provider-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for faker_ai_provider-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5656ff7de4d249b784fdca28ea583a413fa655b13f5b122a3f2bfca00f0a7759
MD5 2a92cecc2ce5d1a9026dd08a36d921dd
BLAKE2b-256 dc860347fba6d9baaa9990653971a8137c0d2a324864b1e0f2008a50380d733b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page