damccorm commented on code in PR #25954:
URL: https://github.com/apache/beam/pull/25954#discussion_r1147653803


##########
website/www/site/content/en/documentation/ml/about-ml.md:
##########
@@ -112,14 +112,19 @@ that illustrates running Scikit-learn models with Apache 
Beam.
 
 #### TensorFlow
 
-To use TensorFlow with the RunInference API, you need to do the following:
-
-* Use `tfx_bsl` version 1.10.0 or later.
-* Create a model handler using 
`tfx_bsl.public.beam.run_inference.CreateModelHandler()`.
-* Use the model handler with the 
[`apache_beam.ml.inference.base.RunInference`](/releases/pydoc/current/apache_beam.ml.inference.base.html)
 transform.
-
-See [this 
notebook](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb)
-that illustrates running TensorFlow models with Apache Beam and tfx-bsl.
+To use TensorFlow with the RunInference API, you have two options:

Review Comment:
   I think we need to provide reasons on why you would use each. Specifically: 
the beam model handlers accept numpy/tensors, the tfx_bsl one requires 
tf.examples



##########
website/www/site/content/en/documentation/ml/about-ml.md:
##########
@@ -112,14 +112,19 @@ that illustrates running Scikit-learn models with Apache 
Beam.
 
 #### TensorFlow
 
-To use TensorFlow with the RunInference API, you need to do the following:
-
-* Use `tfx_bsl` version 1.10.0 or later.
-* Create a model handler using 
`tfx_bsl.public.beam.run_inference.CreateModelHandler()`.
-* Use the model handler with the 
[`apache_beam.ml.inference.base.RunInference`](/releases/pydoc/current/apache_beam.ml.inference.base.html)
 transform.
-
-See [this 
notebook](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb)
-that illustrates running TensorFlow models with Apache Beam and tfx-bsl.
+To use TensorFlow with the RunInference API, you have two options:

Review Comment:
   Same comment applies both places



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