diff --git a/studio/backend/core/export/worker.py b/studio/backend/core/export/worker.py
index 1be456d4d4..80b05aca79 100644
--- a/studio/backend/core/export/worker.py
+++ b/studio/backend/core/export/worker.py
@@ -181,8 +181,11 @@ def _setup_log_capture(resp_queue: Any) -> None:
 
 def _activate_transformers_version(model_name: str) -> None:
     """Activate the correct transformers version BEFORE any ML imports."""
+    # Ensure backend is on path for utils imports
+    backend_path = str(Path(__file__).resolve().parent.parent.parent)
     if backend_path not in sys.path:
         sys.path.insert(0, backend_path)
+
     from utils.transformers_version import activate_transformers_for_subprocess
 
     activate_transformers_for_subprocess(model_name)
@@ -203,19 +206,6 @@ def _handle_load(backend, cmd: dict, resp_queue: Any) -> None:
     load_in_4bit = cmd.get("load_in_4bit", True)
     trust_remote_code = cmd.get("trust_remote_code", False)
 
-    # Auto-enable trust_remote_code for NemotronH/Nano models.
-    if not trust_remote_code:
-        _NEMOTRON_TRUST_SUBSTRINGS = ("nemotron_h", "nemotron-h", "nemotron-3-nano")
-        _cp_lower = checkpoint_path.lower()
-        if any(sub in _cp_lower for sub in _NEMOTRON_TRUST_SUBSTRINGS) and (
-            _cp_lower.startswith("unsloth/") or _cp_lower.startswith("nvidia/")
-        ):
-            trust_remote_code = True
-            logger.info(
-                "Auto-enabled trust_remote_code for Nemotron model: %s",
-                checkpoint_path,
-            )
-
     try:
         _send_response(
             resp_queue,
diff --git a/studio/backend/core/inference/worker.py b/studio/backend/core/inference/worker.py
index 1d1f09de94..ccb94fc36f 100644
--- a/studio/backend/core/inference/worker.py
+++ b/studio/backend/core/inference/worker.py
@@ -34,50 +34,15 @@ from utils.hardware import apply_gpu_ids
 
 
 def _activate_transformers_version(model_name: str) -> None:
-    """Activate the correct transformers version BEFORE any ML imports.
-
-    Uses get_transformers_tier() to decide between .venv_t5_550/ (5.5.0),
-    .venv_t5_530/ (5.3.0), or the default 4.57.x.
-    """
+    """Activate the correct transformers version BEFORE any ML imports."""
     # Ensure backend is on path for utils imports
     backend_path = str(Path(__file__).resolve().parent.parent.parent)
     if backend_path not in sys.path:
         sys.path.insert(0, backend_path)
 
-    from utils.transformers_version import (
-        get_transformers_tier,
-        _resolve_base_model,
-        _ensure_venv_t5_530_exists,
-        _ensure_venv_t5_550_exists,
-        _VENV_T5_530_DIR,
-        _VENV_T5_550_DIR,
-    )
+    from utils.transformers_version import activate_transformers_for_subprocess
 
-    resolved = _resolve_base_model(model_name)
-    tier = get_transformers_tier(resolved)
-
-    if tier == "550":
-        if not _ensure_venv_t5_550_exists():
-            raise RuntimeError(
-                f"Cannot activate transformers 5.5.0: .venv_t5_550 missing at {_VENV_T5_550_DIR}"
-            )
-        if _VENV_T5_550_DIR not in sys.path:
-            sys.path.insert(0, _VENV_T5_550_DIR)
-        logger.info("Activated transformers 5.5.0 from %s", _VENV_T5_550_DIR)
-        _pp = os.environ.get("PYTHONPATH", "")
-        os.environ["PYTHONPATH"] = _VENV_T5_550_DIR + (os.pathsep + _pp if _pp else "")
-    elif tier == "530":
-        if not _ensure_venv_t5_530_exists():
-            raise RuntimeError(
-                f"Cannot activate transformers 5.3.0: .venv_t5_530 missing at {_VENV_T5_530_DIR}"
-            )
-        if _VENV_T5_530_DIR not in sys.path:
-            sys.path.insert(0, _VENV_T5_530_DIR)
-        logger.info("Activated transformers 5.3.0 from %s", _VENV_T5_530_DIR)
-        _pp = os.environ.get("PYTHONPATH", "")
-        os.environ["PYTHONPATH"] = _VENV_T5_530_DIR + (os.pathsep + _pp if _pp else "")
-    else:
-        logger.info("Using default transformers (4.57.x) for %s", model_name)
+    activate_transformers_for_subprocess(model_name)
 
 
 def _decode_image(image_base64: str):
diff --git a/studio/backend/core/training/worker.py b/studio/backend/core/training/worker.py
index c6c8e02b37..5488691b98 100644
--- a/studio/backend/core/training/worker.py
+++ b/studio/backend/core/training/worker.py
@@ -1039,50 +1039,15 @@ def _ensure_flash_attn_for_long_context(event_queue: Any, max_seq_length: int) -
 
 
 def _activate_transformers_version(model_name: str) -> None:
-    """Activate the correct transformers version BEFORE any ML imports.
-
-    Uses get_transformers_tier() to decide between .venv_t5_550/ (5.5.0),
-    .venv_t5_530/ (5.3.0), or the default 4.57.x.
-    """
+    """Activate the correct transformers version BEFORE any ML imports."""
     # Ensure backend is on path for utils imports
     backend_path = str(Path(__file__).resolve().parent.parent.parent)
     if backend_path not in sys.path:
         sys.path.insert(0, backend_path)
 
-    from utils.transformers_version import (
-        get_transformers_tier,
-        _resolve_base_model,
-        _ensure_venv_t5_530_exists,
-        _ensure_venv_t5_550_exists,
-        _VENV_T5_530_DIR,
-        _VENV_T5_550_DIR,
-    )
+    from utils.transformers_version import activate_transformers_for_subprocess
 
-    resolved = _resolve_base_model(model_name)
-    tier = get_transformers_tier(resolved)
-
-    if tier == "550":
-        if not _ensure_venv_t5_550_exists():
-            raise RuntimeError(
-                f"Cannot activate transformers 5.5.0: .venv_t5_550 missing at {_VENV_T5_550_DIR}"
-            )
-        if _VENV_T5_550_DIR not in sys.path:
-            sys.path.insert(0, _VENV_T5_550_DIR)
-        logger.info("Activated transformers 5.5.0 from %s", _VENV_T5_550_DIR)
-        _pp = os.environ.get("PYTHONPATH", "")
-        os.environ["PYTHONPATH"] = _VENV_T5_550_DIR + (os.pathsep + _pp if _pp else "")
-    elif tier == "530":
-        if not _ensure_venv_t5_530_exists():
-            raise RuntimeError(
-                f"Cannot activate transformers 5.3.0: .venv_t5_530 missing at {_VENV_T5_530_DIR}"
-            )
-        if _VENV_T5_530_DIR not in sys.path:
-            sys.path.insert(0, _VENV_T5_530_DIR)
-        logger.info("Activated transformers 5.3.0 from %s", _VENV_T5_530_DIR)
-        _pp = os.environ.get("PYTHONPATH", "")
-        os.environ["PYTHONPATH"] = _VENV_T5_530_DIR + (os.pathsep + _pp if _pp else "")
-    else:
-        logger.info("Using default transformers (4.57.x) for %s", model_name)
+    activate_transformers_for_subprocess(model_name)
 
 
 def _adapt_for_mlx_vlm(items):
diff --git a/studio/backend/utils/transformers_version.py b/studio/backend/utils/transformers_version.py
index 22e582eabd..f0df6ab145 100644
--- a/studio/backend/utils/transformers_version.py
+++ b/studio/backend/utils/transformers_version.py
@@ -112,6 +112,49 @@ _VENV_T5_550_DIR = str(_studio_root() / ".venv_t5_550")
 _VENV_T5_DIR = _VENV_T5_550_DIR
 
 
+def activate_transformers_for_subprocess(model_name: str) -> None:
+    """Activate the correct transformers version in a subprocess worker.
+
+    Call this BEFORE any ML imports. Resolves LoRA adapters to their base
+    model, determines the required tier, and prepends the appropriate
+    ``.venv_t5_*`` directory to ``sys.path``.  Also propagates the path
+    via ``PYTHONPATH`` for child processes (e.g. GGUF converter).
+
+    Used by training, inference, and export workers.
+    """
+    resolved = _resolve_base_model(model_name)
+    tier = get_transformers_tier(resolved)
+
+    if tier == "550":
+        if not _ensure_venv_t5_550_exists():
+            raise RuntimeError(
+                f"Cannot activate transformers 5.5.0: "
+                f".venv_t5_550 missing at {_VENV_T5_550_DIR}"
+            )
+        if _VENV_T5_550_DIR not in sys.path:
+            sys.path.insert(0, _VENV_T5_550_DIR)
+        logger.info("Activated transformers 5.5.0 from %s", _VENV_T5_550_DIR)
+        _pp = os.environ.get("PYTHONPATH", "")
+        os.environ["PYTHONPATH"] = (
+            _VENV_T5_550_DIR + (os.pathsep + _pp if _pp else "")
+        )
+    elif tier == "530":
+        if not _ensure_venv_t5_530_exists():
+            raise RuntimeError(
+                f"Cannot activate transformers 5.3.0: "
+                f".venv_t5_530 missing at {_VENV_T5_530_DIR}"
+            )
+        if _VENV_T5_530_DIR not in sys.path:
+            sys.path.insert(0, _VENV_T5_530_DIR)
+        logger.info("Activated transformers 5.3.0 from %s", _VENV_T5_530_DIR)
+        _pp = os.environ.get("PYTHONPATH", "")
+        os.environ["PYTHONPATH"] = (
+            _VENV_T5_530_DIR + (os.pathsep + _pp if _pp else "")
+        )
+    else:
+        logger.info("Using default transformers (4.57.x) for %s", model_name)
+
+
 def _resolve_base_model(model_name: str) -> str:
     """If *model_name* points to a LoRA adapter, return its base model.