chore: Update output_dimensionality docstring to a more generic descr…

…iption.

PiperOrigin-RevId: 721564654

vertexai/language_models/_language_models.py

@@ -2135,7 +2135,8 @@ def _prepare_text_embedding_request(
         Args:
             texts(str): A list of texts or `TextEmbeddingInput` objects to embed.
             auto_truncate(bool): Whether to automatically truncate long texts. Default: True.
-            output_dimensionality: Optional dimensions of embeddings. Range: [1, 768]. Default: None.
+            output_dimensionality: Optional dimensions of embeddings. This must be a positive
+            integer, with a maximum value dependent upon the model version. Default: None.
 
         Returns:
             A `_MultiInstancePredictionRequest` object.
@@ -2175,7 +2176,8 @@ def get_embeddings(
         Args:
             texts: A list of texts or `TextEmbeddingInput` objects to embed.
             auto_truncate: Whether to automatically truncate long texts. Default: True.
-            output_dimensionality: Optional dimensions of embeddings. Range: [1, 768]. Default: None.
+            output_dimensionality: Optional dimensions of embeddings. This must be a positive
+            integer, with a maximum value dependent upon the model version. Default: None.
 
         Returns:
             A list of `TextEmbedding` objects.
@@ -2210,7 +2212,8 @@ async def get_embeddings_async(
         Args:
             texts: A list of texts or `TextEmbeddingInput` objects to embed.
             auto_truncate: Whether to automatically truncate long texts. Default: True.
-            output_dimensionality: Optional dimensions of embeddings. Range: [1, 768]. Default: None.
+            output_dimensionality: Optional dimensions of embeddings. This must be a positive
+            integer, with a maximum value dependent upon the model version. Default: None.
 
         Returns:
             A list of `TextEmbedding` objects.