Skip to main content

Documentation Index

Fetch the complete documentation index at: https://wb-21fd5541-john-wbdocs-2044-rename-serverless-products.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

The W&B Python SDK, accessible at wandb, enables you to train and fine-tune models, and manage models from experimentation to production.
After performing your training and fine-tuning operations with this SDK, you can use the Public API to query and analyze the data that was logged, and the Reports and Workspaces API to generate a web-publishable report summarizing your work.

​
Installation and setup

​
Sign up and create an API key

To authenticate your machine with W&B, you must first generate an API key at User Settings.

​
Install and import packages

Install the W&B library. 
pip install wandb

​
Import W&B Python SDK:

import wandb

# Specify your team entity
entity = "<team_entity>"

# Project that the run is recorded to
project = "my-awesome-project"

with wandb.init(entity=entity, project=project) as run:
   run.log({"accuracy": 0.9, "loss": 0.1})