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commit f2b4ee12c4fd138d2585f114ac2294d78c47efae Author: Otavio Rodolfo Piske <angusyo...@gmail.com> AuthorDate: Thu Aug 1 17:02:03 2024 +0200 CAMEL-21040: fix documentation in camel-djl --- components/camel-ai/camel-djl/src/main/docs/djl-component.adoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc b/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc index ad51deca03d..2f8979d07ec 100644 --- a/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc +++ b/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc @@ -40,7 +40,7 @@ Where `application` represents the https://javadoc.io/doc/ai.djl/api/latest/ai/d === Supported applications -Currently, the following applications are supported by the component. +Currently, the component supports the following applications. [width="100%",cols="3,3,3",options="header"] |=== @@ -453,7 +453,7 @@ You can pull the PyTorch engine from the central Maven repository by including t </dependency> ---- -By default, DJL will download the PyTorch native libraries into https://docs.djl.ai/docs/development/cache_management.html[cache folder] the first time you run DJL. +By default, DJL will download the PyTorch native libraries into the https://docs.djl.ai/docs/development/cache_management.html[cache folder] the first time you run DJL. It will automatically determine the appropriate jars for your system based on the platform and GPU support. More information about https://docs.djl.ai/engines/pytorch/index.html[PyTorch engine installation]