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Mention Java RunInference support in the Website #22557

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Expand Up @@ -161,6 +161,10 @@ For more information, see the [`PredictionResult` documentation](https://github.
For detailed instructions explaining how to build and run a pipeline that uses ML models, see the
[Example RunInference API pipelines](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/inference) on GitHub.

## Beam Java SDK support

RunInference API is available to Beam Java SDK 2.41.0 and later through Apache Beam [Multi-language Pipelines framework](https://beam.apache.org/documentation/programming-guide/#multi-language-pipelines). Please see [here](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java) for the Java wrapper transform to use and please see [here](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/test/java/org/apache/beam/sdk/extensions/python/transforms/RunInferenceTransformTest.java) for some example pipelines.

## Troubleshooting

If you run into problems with your pipeline or job, this section lists issues that you might encounter and provides suggestions for how to fix them.
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