Clarify eland-uploaded models is for hugging face

docs/reference/search/search-your-data/retrievers-reranking/semantic-reranking.asciidoc

@@ -94,7 +94,7 @@ Currently you can:
 
 ** Integrate directly with the <<infer-service-cohere,Cohere Rerank inference endpoint>> using the `rerank` task type
 ** Integrate directly with the <<infer-service-google-vertex-ai,Google Vertex AI inference endpoint>> using the `rerank` task type
-** Upload a model to {es} with {eland-docs}/machine-learning.html#ml-nlp-pytorch[Eland]
+** Upload a model to {es} from Hugging Face with {eland-docs}/machine-learning.html#ml-nlp-pytorch[Eland]
 *** Then set up an <<inference-example-eland,{es} service inference endpoint>> with the `rerank` task type
 . *Create a `rerank` task using the <<put-inference-api,{es} Inference API>>*.
 The Inference API creates an inference endpoint and configures your chosen machine learning model to perform the reranking task.