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description
Overview of our client library.

Python Library

Use our python library to instrument your machine learning model and track experiments. Setup should only take a few lines of code. If you're using a popular framework, we have a number of integrations to make setting up wandb easy.

We have more detailed docs generated from the code in Reference.

{% page-ref page="../frameworks/" %}

Instrumenting a model

  • wandb.init — initialize a new run at the top of your training script
  • wandb.config — track hyperparameters
  • wandb.log — log metrics over time within your training loop
  • wandb.save — save files in association with your run, like model weights
  • wandb.restore — restore the state of your code when you ran a given run

{% page-ref page="init.md" %}

{% page-ref page="config.md" %}

{% page-ref page="log.md" %}

{% page-ref page="save.md" %}

{% page-ref page="restore.md" %}

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