Upload backend/core/search_ml.py with huggingface_hub

backend/core/search_ml.py

@@ -167,12 +167,7 @@ def search_with_ml(
                 vector_weight=config.vector_weight
             )
         except Exception as e:
-            error_msg = str(e)
-            # Don't print full traceback for known compatibility issues
-            if "modeling_layers" in error_msg or "trainer" in error_msg:
-                print(f"Hybrid search not available (transformers compatibility issue), using BM25/TF-IDF", flush=True)
-            else:
-                print(f"Hybrid search not available, using BM25/TF-IDF: {error_msg}", flush=True)
+            print(f"Hybrid search not available, using BM25/TF-IDF: {e}")
 
     # Attempt PostgreSQL BM25 ranking first when available
     if connection.vendor == "postgresql" and hasattr(queryset.model, "tsv_body"):