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new 87783393936 Fix small doc typo (#26033)
87783393936 is described below
commit 877833939360451da1f7bf7bd79532d3f88255db
Author: Danny McCormick <[email protected]>
AuthorDate: Wed Mar 29 15:59:39 2023 -0400
Fix small doc typo (#26033)
---
website/www/site/content/en/documentation/ml/inference-overview.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/website/www/site/content/en/documentation/ml/inference-overview.md
b/website/www/site/content/en/documentation/ml/inference-overview.md
index 46aaa139e55..a79c9a6b01e 100644
--- a/website/www/site/content/en/documentation/ml/inference-overview.md
+++ b/website/www/site/content/en/documentation/ml/inference-overview.md
@@ -38,7 +38,7 @@ Beam provides different ways to implement inference as part
of your pipeline. Yo
</tr>
</table>
-The RunInfernce API is available with the Beam Python SDK versions 2.40.0 and
later. You can use Apache Beam with the RunInference API to use machine
learning (ML) models to do local and remote inference with batch and streaming
pipelines. Starting with Apache Beam 2.40.0, PyTorch and Scikit-learn
frameworks are supported. Tensorflow models are supported through `tfx-bsl`.
For more deatils about using RunInference with Python, see [Machine Learning
with Python](/documentation/sdks/python [...]
+The RunInference API is available with the Beam Python SDK versions 2.40.0 and
later. You can use Apache Beam with the RunInference API to use machine
learning (ML) models to do local and remote inference with batch and streaming
pipelines. Starting with Apache Beam 2.40.0, PyTorch and Scikit-learn
frameworks are supported. Tensorflow models are supported through `tfx-bsl`.
For more deatils about using RunInference with Python, see [Machine Learning
with Python](/documentation/sdks/pytho [...]
The RunInference API is available with the Beam Java SDK versions 2.41.0 and
later through Apache Beam's [Multi-language Pipelines
framework](/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).
To try it out, see the [Java Sklearn Mnist Classification exa [...]
@@ -61,4 +61,4 @@ You can create multiple types of transforms using the
RunInference API: the API
| I want to build a pipeline with multiple models | [Multi-Model
Pipelines](/documentation/ml/multi-model-pipelines) |
| I want to build a custom model handler with TensorRT | [Use TensorRT with
RunInference](/documentation/ml/tensorrt-runinference) |
| I want to use LLM inference | [Large Language Model
Inference](/documentation/ml/large-language-modeling/) |:
-{{< /table >}}
\ No newline at end of file
+{{< /table >}}
