tvalentyn commented on code in PR #22949:
URL: https://github.com/apache/beam/pull/22949#discussion_r960020406


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website/www/site/content/en/documentation/sdks/python-machine-learning.md:
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@@ -165,7 +165,53 @@ For detailed instructions explaining how to build and run 
a pipeline that uses M
 
 ## Beam Java SDK support
 
-RunInference API is available to Beam Java SDK 2.41.0 and later through Apache 
Beam's [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.
+The RunInference API is available with the Beam Java SDK versions 2.41.0 and 
later through Apache Beam's [Multi-language Pipelines 
framework](https://beam.apache.org/documentation/programming-guide/#multi-language-pipelines).
 For information about the Java wrapper transform, see 
[RunInference.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java).
 For example pipelines, see 
[RunInferenceTransformTest.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/test/java/org/apache/beam/sdk/extensions/python/transforms/RunInferenceTransformTest.java).
+
+## TensorFlow support
+
+To use TensorFlow with the RunInference API, you need to create a model 
handler from within `tfx_bsl`, import the required modules, and add the 
necessary code to your pipline.
+
+First, create a model handler from within `tfx_bsl`. The model handler can be 
keyed or unkeyed.
+For more information, see 
[run_inference.py](https://github.com/tensorflow/tfx-bsl/blob/d1fca25e5eeaac9ef0111ec13e7634df836f36f6/tfx_bsl/public/beam/run_inference.py)
 in the TensorFlow GitHub repository.
+
+```
+tf_handler = CreateModelHandler(inference_spec_type)
+
+# unkeyed
+beam.run_inference(tf_handler)
+
+# keyed
+beam.run_inference(beam.ml.inference.KeyedHandler(tf_handler))

Review Comment:
   @ryanthompson591 : this seems broken. I think it will be removed from this 
PR but we should fix the source:
   - It should be KeyedModelHandler 
   - I think there is mixing of tfx_bsl.beam and apache_beam (imported as 
beam). I can imagine this will cause confusion.
   - nit: in `inferece_spec_type = 
model_spec_pb2.InferenceSpecType(saved_model_spec=saved_model_spec)` there is 
typo in `inference`.
    



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