Unify on Streams.toList()

2 files changed, 3 insertions, 4 deletions

diff --git a/model-integration/src/main/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedder.java b/model-integration/src/main/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedder.java
index 2b9e3a2ab60..81150fe99b0 100644
--- a/model-integration/src/main/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedder.java
+++ b/model-integration/src/main/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedder.java
@@ -14,7 +14,6 @@ import com.yahoo.embedding.huggingface.HuggingFaceEmbedderConfig;
 import java.io.*;
 import java.nio.file.Paths;
 import java.util.*;
-import java.util.stream.Collectors;
 
 import org.slf4j.LoggerFactory;
 import org.slf4j.Logger;
@@ -87,7 +86,7 @@ public class HuggingFaceEmbedder implements Embedder {
     public List<Integer> longToInteger(long[] values) {
         return Arrays.stream(values)
                 .boxed().map(Long::intValue)
-                .collect(Collectors.toList());
+                .toList();
     }
 
     @Override
diff --git a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Squeeze.java b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Squeeze.java
index 9229d6af254..9c797a990bc 100644
--- a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Squeeze.java
+++ b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/operations/Squeeze.java
@@ -39,14 +39,14 @@ public class Squeeze extends IntermediateOperation {
             squeezeDimensions = inputType.type().dimensions().stream().
                     filter(dim -> OrderedTensorType.dimensionSize(dim) == 1).
                     map(TensorType.Dimension::name).
-                    collect(Collectors.toList());
+                    toList();
         } else {
             squeezeDimensions = squeezeDimsAttr.get().stream().map(Value::asDouble).map(Double::intValue).
                     map(i -> i < 0 ? inputType.type().dimensions().size() - i : i).
                     map(i -> inputType.type().dimensions().get(i)).
                     filter(dim -> OrderedTensorType.dimensionSize(dim) == 1).
                     map(TensorType.Dimension::name).
-                    collect(Collectors.toList());
+                    toList();
         }
 
         return squeezeDimensions.isEmpty() ? inputType : reducedType(inputType);