Replace FARMRanker with SentenceTransformersRanker in pipeline

docs/latest/components/pipelines.mdx

@@ -336,12 +336,12 @@ To create new pipeline nodes, we initialize the modules first. For our use case,
 
 ``` python
 from haystack.retriever import ElasticsearchRetriever
-from haystack.ranker import FARMRanker
+from haystack.ranker import SentenceTransformersRanker
 from haystack.summarizer import TransformersSummarizer
 
 retriever = ElasticsearchRetriever(document_store, top_k=10)
 
-ranker=FARMRanker(model_name_or_path="sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking", top_k=10)
+ranker = SentenceTransformersRanker(model_name_or_path="cross-encoder/ms-marco-MiniLM-L-12-v2", top_k=10)
 
 summarizer = TransformersSummarizer(model_name_or_path='t5-large', min_length=10, max_length=300, generate_single_summary=True)
 ```
@@ -458,4 +458,4 @@ pipeline = RayPipeline.load_from_yaml(path="my_pipelines.yaml", pipeline_name="m
 pipeline.run(query="What is the capital of Germany?")
 ```
 By default, RayPipelines creates an instance of RayServe locally. To connect to an existing Ray instance,
-set the `address` parameter when creating the RayPipeline instance.
+set the `address` parameter when creating the RayPipeline instance.