Fix vertex

README.md

@@ -317,8 +317,10 @@ All output formats will return a metadata dictionary, with the following fields:
 When running with the `--use_llm` flag, you have a choice of services you can use:
 
 - `Gemini` - this will use the Gemini developer API by default.  You'll need to pass `--gemini_api_key` to configuration.
-- `Google Vertex` - this will use vertex, which can be more reliable.  You'll need to pass `--vertex_project_id` and `--vertex_location`.  To use it, set `--llm_service=marker.services.vertex.GoogleVertexService`.
-- `Ollama` - this will use local models.  You can configure `--ollama_base_url` and `--ollama_model`. To use it, set `--llm_service=marker.services.vertex.OllamaService`.
+- `Google Vertex` - this will use vertex, which can be more reliable.  You'll need to pass `--vertex_project_id`.  To use it, set `--llm_service=marker.services.vertex.GoogleVertexService`.
+- `Ollama` - this will use local models.  You can configure `--ollama_base_url` and `--ollama_model`. To use it, set `--llm_service=marker.services.ollama.OllamaService`.
+
+These services may have additional optional configuration as well - you can see it by viewing the classes.
 
 # Internals
 

marker/services/vertex.py

@@ -12,7 +12,11 @@ class GoogleVertexService(BaseGeminiService):
     vertex_location: Annotated[
         str,
         "Google Cloud Location for Vertex AI.",
-    ] = None
+    ] = "us-central1"
+    gemini_model_name: Annotated[
+        str,
+        "The name of the Google model to use for the service."
+    ] = "gemini-1.5-flash-002"
 
     def get_google_client(self, timeout: int = 60):
         return genai.Client(