# Transform library for non-TFX users

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Transform is available as a standalone library.

- [Getting Started with TensorFlow Transform](https://www.tensorflow.org/tfx/transform/get_started)
- [TensorFlow Transform API Reference](https://www.tensorflow.org/tfx/transform/api_docs/python/tft)

The [`tft`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft) module documentation is the only module that is relevant to TFX users.
The [`tft_beam`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft_beam) module is relevant only when using Transform as a standalone library. Typically, a TFX user constructs a `preprocessing_fn`, and the rest of the
Transform library calls are made by the Transform component.

You can also use the Apache Beam `MLTransform` class to preprocess data
for training and inference. The `MLTransform` class wraps multiple TFX data
processing transforms in one class. For more information, see
[Preprocess data with MLTransform](https://beam.apache.org/documentation/ml/preprocess-data)
in the Apache Beam documentation.