diff --git a/spinoffs/autobnn/README.md b/spinoffs/autobnn/README.md
index 843259793d..53b3f7f2ed 100644
--- a/spinoffs/autobnn/README.md
+++ b/spinoffs/autobnn/README.md
@@ -18,8 +18,13 @@ Vikash K. Mansinghka.  _Sequential Monte Carlo Learning for Time Series
 Structure Discovery_. ICML 2023.
 
 
-## Setup
+## Installation
 
-AutoBNN has three additional dependencies beyond those used by the core
-Tensorflow Probability package:  flax, scipy and jaxtyping.  These
-can be installed by running `setup_autobnn.sh`.
+AutoBNN can be installed with pip
+
+```
+pip install autobnn
+```
+
+or it can be installed by source by following [these instructions]
+(https://github.com/tensorflow/probability?tab=readme-ov-file#installing-from-source).
diff --git a/spinoffs/autobnn/setup_autobnn.sh b/spinoffs/autobnn/setup_autobnn.sh
deleted file mode 100755
index fdb4ae7e33..0000000000
--- a/spinoffs/autobnn/setup_autobnn.sh
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env bash
-# Copyright 2023 The TensorFlow Probability Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-
-set -v  # print commands as they are executed
-set -e  # fail and exit on any command erroring
-
-user_flag_is_set() {
-  # We could use getopts but it's annoying and arguably overkill here. We should
-  # consider it if ever this script grows more complicated.
-  [[ "$SCRIPT_ARGS" =~ --user ]]
-}
-
-if user_flag_set; then
-  PIP_FLAGS="--user"
-else
-  PIP_FLAGS=""
-fi
-
-python -m pip install $PIP_FLAGS bayeux-ml chex flax jaxtyping matplotlib pandas scipy