Improve resource management in TransformersEmbeddingModel

 - Prevent potential resource leaks
 - Wrap OnnxTensor creation in try-with-resources block
 - Explicitly close inputIds, attentionMask, and tokenTypeIds tensors

 Resolves #1427

Author: tzolov

models/spring-ai-transformers/src/main/java/org/springframework/ai/transformers/TransformersEmbeddingModel.java

@@ -291,39 +291,44 @@ public EmbeddingResponse call(EmbeddingRequest request) {
 						token_type_ids0[i] = encodings[i].getTypeIds();
 					}
 
-					OnnxTensor inputIds = OnnxTensor.createTensor(this.environment, input_ids0);
-					OnnxTensor attentionMask = OnnxTensor.createTensor(this.environment, attention_mask0);
-					OnnxTensor tokenTypeIds = OnnxTensor.createTensor(this.environment, token_type_ids0);
+					try (OnnxTensor inputIds = OnnxTensor.createTensor(this.environment, input_ids0);
+							OnnxTensor attentionMask = OnnxTensor.createTensor(this.environment, attention_mask0);
+							OnnxTensor tokenTypeIds = OnnxTensor.createTensor(this.environment, token_type_ids0);) {
 
-					Map<String, OnnxTensor> modelInputs = Map.of("input_ids", inputIds, "attention_mask", attentionMask,
-							"token_type_ids", tokenTypeIds);
+						Map<String, OnnxTensor> modelInputs = Map.of("input_ids", inputIds, "attention_mask",
+								attentionMask, "token_type_ids", tokenTypeIds);
 
-					modelInputs = removeUnknownModelInputs(modelInputs);
+						modelInputs = removeUnknownModelInputs(modelInputs);
 
-					// The Run result object is AutoCloseable to prevent references from
-					// leaking
-					// out. Once the Result object is
-					// closed, all it’s child OnnxValues are closed too.
-					try (OrtSession.Result results = this.session.run(modelInputs)) {
+						// The Run result object is AutoCloseable to prevent references
+						// from leaking out. Once the Result object is
+						// closed, all it’s child OnnxValues are closed too.
+						try (OrtSession.Result results = this.session.run(modelInputs)) {
 
-						// OnnxValue lastHiddenState = results.get(0);
-						OnnxValue lastHiddenState = results.get(this.modelOutputName).get();
+							// OnnxValue lastHiddenState = results.get(0);
+							OnnxValue lastHiddenState = results.get(this.modelOutputName).get();
 
-						// 0 - batch_size (1..x)
-						// 1 - sequence_length (128)
-						// 2 - embedding dimensions (384)
-						float[][][] tokenEmbeddings = (float[][][]) lastHiddenState.getValue();
+							// 0 - batch_size (1..x)
+							// 1 - sequence_length (128)
+							// 2 - embedding dimensions (384)
+							float[][][] tokenEmbeddings = (float[][][]) lastHiddenState.getValue();
 
-						try (NDManager manager = NDManager.newBaseManager()) {
-							NDArray ndTokenEmbeddings = create(tokenEmbeddings, manager);
-							NDArray ndAttentionMask = manager.create(attention_mask0);
+							try (NDManager manager = NDManager.newBaseManager()) {
+								NDArray ndTokenEmbeddings = create(tokenEmbeddings, manager);
+								NDArray ndAttentionMask = manager.create(attention_mask0);
 
-							NDArray embedding = meanPooling(ndTokenEmbeddings, ndAttentionMask);
+								NDArray embedding = meanPooling(ndTokenEmbeddings, ndAttentionMask);
 
-							for (int i = 0; i < embedding.size(0); i++) {
-								resultEmbeddings.add(embedding.get(i).toFloatArray());
+								for (int i = 0; i < embedding.size(0); i++) {
+									resultEmbeddings.add(embedding.get(i).toFloatArray());
+								}
 							}
 						}
+						finally {
+							inputIds.close();
+							attentionMask.close();
+							tokenTypeIds.close();
+						}
 					}
 				}
 				catch (OrtException ex) {