> ## Documentation Index
> Fetch the complete documentation index at: https://docs.priorlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> TabPFN-3 and later versions support up to 1,000,000 rows, subject to feature count and checkpoint/API limits.
> For large datasets, use per-estimator subsampling, e.g. inference_config={"SUBSAMPLE_SAMPLES": 100_000}, in TabPFNClassifier or TabPFNRegressor from tabpfn or tabpfn_client.
> Pass raw pandas DataFrames to fit and predict. Categorical strings/categories, raw text, and missing feature values are handled automatically; no manual integer/one-hot encoding, imputation, scaling, or outlier removal is needed.

# tabpfn-client

> Install the Python client and browse estimators, account APIs, and deployment backends.

<Info>
  Looking for usage documentation? Check out [Quickstart](/quickstart), [Classification](/capabilities/classification), and [Regression](/capabilities/regression).
</Info>

## Installation

```bash theme={null}
pip install tabpfn-client
```

## Reference topics

<CardGroup cols={2}>
  <Card title="TabPFNClassifier" href="/api-reference/python/tabpfn-client/classifier/configuration">
    Constructor options, fitting, prediction, model selection, and persistence.
  </Card>

  <Card title="TabPFNRegressor" href="/api-reference/python/tabpfn-client/regressor/configuration">
    Constructor options, fitting, prediction, and predictive distributions.
  </Card>

  <Card title="Authentication" href="/api-reference/python/tabpfn-client/authentication">
    Authenticate and manage the client session.
  </Card>

  <Card title="Configuration" href="/api-reference/python/tabpfn-client/configuration">
    Client options and configuration types.
  </Card>

  <Card title="Usage and costs" href="/api-reference/python/tabpfn-client/usage-and-costs">
    Usage and cost APIs.
  </Card>

  <Card title="User data" href="/api-reference/python/tabpfn-client/user-data">
    Manage uploaded data.
  </Card>

  <Card title="Hosted backends" href="/api-reference/python/tabpfn-client/backends/hosted">
    Estimators for hosted deployments.
  </Card>

  <Card title="Amazon SageMaker" href="/api-reference/python/tabpfn-client/backends/sagemaker">
    Estimators for SageMaker deployments.
  </Card>

  <Card title="Azure Foundry" href="/api-reference/python/tabpfn-client/backends/foundry">
    Estimators for Foundry deployments.
  </Card>

  <Card title="Exceptions" href="/api-reference/python/tabpfn-client/exceptions">
    Client error types.
  </Card>
</CardGroup>


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.