Feiyang1
diff --git a/‎generative_ai/embeddings/code_retrieval_example.py
Copy file name to clipboardExpand all lines: generative_ai/embeddings/code_retrieval_example.py
-1Lines changed: 0 additions & 1 deletion b/‎generative_ai/embeddings/code_retrieval_example.py
Copy file name to clipboardExpand all lines: generative_ai/embeddings/code_retrieval_example.py
-1Lines changed: 0 additions & 1 deletion
@@ -29,7 +29,6 @@ def embed_text(
 ) -> list[list[float]]:
     """Embeds texts with a pre-trained, foundational model."""
     model = TextEmbeddingModel.from_pretrained(model_name)
-    inputs = [TextEmbeddingInput(text, task) for text in texts]
     kwargs = dict(output_dimensionality=dimensionality) if dimensionality else {}
 
     embeddings = []