rszper commented on code in PR #24437:
URL: https://github.com/apache/beam/pull/24437#discussion_r1036511603
##########
examples/notebooks/beam-ml/run_inference_pytorch.ipynb:
##########
@@ -84,6 +84,13 @@
"metadata": {
"id": "loxD-rOVchRn"
},
+ "outputs": [],
+ "source": [
+ "!pip install apache_beam[gcp,dataframe] --quiet"
+ ],
+ "metadata": {
+ "id": "loxD-rOVchRn"
+ },
Review Comment:
I think I successfully got rid of this.
##########
examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb:
##########
@@ -41,25 +36,23 @@
"# KIND, either express or implied. See the License for the\n",
"# specific language governing permissions and limitations\n",
"# under the License"
- ]
- },
- {
- "cell_type": "markdown",
+ ],
"metadata": {
+ "cellView": "form",
"id": "faayYQYrQzY3"
- },
- "source": [
- "## Use RunInference in Apache Beam"
- ]
+ },
+ "execution_count": null,
+ "outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "JjAt1GesQ9sg"
},
"source": [
- "Starting with Apache Beam 2.40.0, you can use Apache Beam with the
RunInference API to use machine learning (ML) models for local and remote
inference with batch and streaming pipelines.\n",
- "The RunInference API leverages Apache Beam concepts, such as the
BatchElements transform and the Shared class, to support models in your
pipelines that create transforms optimized for machine learning inferences.\n",
+ "# Use RunInference in Apache Beam\n",
+ "You can use Apache Beam versions 2.40.0 and later with the
[RunInference
API](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference)
to use machine learning (ML) models for local and remote inference with batch
and streaming pipelines.\n",
Review Comment:
Updated, thanks!
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