diff --git a/README.md b/README.md
index 7009aaa..70a2f81 100644
--- a/README.md
+++ b/README.md
@@ -263,9 +263,20 @@ claude mcp add cocoindex-code \
 
 Any model supported by LiteLLM works — see the [full list of embedding providers](https://docs.litellm.ai/docs/embedding/supported_embedding).
 
-### GPU-optimised local model
+### Local SentenceTransformers models
 
-If you have a GPU, [`nomic-ai/CodeRankEmbed`](https://huggingface.co/nomic-ai/CodeRankEmbed) delivers significantly better code retrieval than the default model. It is 137M parameters, requires ~1 GB VRAM, and has an 8192-token context window.
+Use the `sbert/` prefix to load any [SentenceTransformers](https://www.sbert.net/) model locally (no API key required).
+
+**Example — general purpose text model:**
+```bash
+claude mcp add cocoindex-code \
+  -e COCOINDEX_CODE_EMBEDDING_MODEL=sbert/nomic-ai/nomic-embed-text-v1 \
+  -- cocoindex-code
+```
+
+**GPU-optimised code retrieval:**
+
+[`nomic-ai/CodeRankEmbed`](https://huggingface.co/nomic-ai/CodeRankEmbed) delivers significantly better code retrieval than the default model. It is 137M parameters, requires ~1 GB VRAM, and has an 8192-token context window.
 
 ```bash
 claude mcp add cocoindex-code \
diff --git a/src/cocoindex_code/config.py b/src/cocoindex_code/config.py
index 6289364..fc1df87 100644
--- a/src/cocoindex_code/config.py
+++ b/src/cocoindex_code/config.py
@@ -76,7 +76,6 @@ class Config:
     embedding_model: str
     index_dir: Path
     device: str | None
-    trust_remote_code: bool
     extra_extensions: dict[str, str | None]
     excluded_patterns: list[str]
 
@@ -103,16 +102,6 @@ def from_env(cls) -> Config:
         # Device: auto-detect CUDA or use env override
         device = os.environ.get("COCOINDEX_CODE_DEVICE")
 
-        # trust_remote_code: opt-in via env var only.
-        # sentence-transformers 5.x+ supports Jina models natively, so
-        # auto-enabling this for jinaai/ models causes failures with
-        # transformers 5.x (removed find_pruneable_heads_and_indices).
-        trust_remote_code = os.environ.get("COCOINDEX_CODE_TRUST_REMOTE_CODE", "").lower() in (
-            "1",
-            "true",
-            "yes",
-        )
-
         # Extra file extensions (format: "inc:php,yaml,toml" — optional lang after colon)
         raw_extra = os.environ.get("COCOINDEX_CODE_EXTRA_EXTENSIONS", "")
         extra_extensions: dict[str, str | None] = {}
@@ -134,7 +123,6 @@ def from_env(cls) -> Config:
             embedding_model=embedding_model,
             index_dir=index_dir,
             device=device,
-            trust_remote_code=trust_remote_code,
             extra_extensions=extra_extensions,
             excluded_patterns=excluded_patterns,
         )
diff --git a/src/cocoindex_code/shared.py b/src/cocoindex_code/shared.py
index adade90..7b28d1b 100644
--- a/src/cocoindex_code/shared.py
+++ b/src/cocoindex_code/shared.py
@@ -31,19 +31,15 @@
     # Models that define a "query" prompt for asymmetric retrieval.
     _QUERY_PROMPT_MODELS = {"nomic-ai/nomic-embed-code", "nomic-ai/CodeRankEmbed"}
     query_prompt_name: str | None = "query" if _model_name in _QUERY_PROMPT_MODELS else None
-    # Models whose custom remote code is known-compatible with transformers 5.x.
-    _KNOWN_REMOTE_CODE_MODELS = {"nomic-ai/CodeRankEmbed"}
-    _trust = config.trust_remote_code or _model_name in _KNOWN_REMOTE_CODE_MODELS
     embedder = SentenceTransformerEmbedder(
         _model_name,
         device=config.device,
-        trust_remote_code=_trust,
+        trust_remote_code=True,
     )
     logger.info(
-        "Embedding model: %s | device: %s | trust_remote_code: %s",
+        "Embedding model: %s | device: %s",
         config.embedding_model,
         config.device,
-        _trust,
     )
 else:
     from cocoindex.ops.litellm import LiteLLMEmbedder
diff --git a/tests/test_config.py b/tests/test_config.py
index d0abb38..015a88f 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -34,41 +34,6 @@ def test_env_var_overrides_device(self, tmp_path: Path) -> None:
             config = Config.from_env()
             assert config.device == "cpu"
 
-
-class TestConfigTrustRemoteCode:
-    """Tests for trust_remote_code env var control."""
-
-    def test_false_by_default(self, tmp_path: Path) -> None:
-        with patch.dict(
-            os.environ,
-            {"COCOINDEX_CODE_ROOT_PATH": str(tmp_path)},
-        ):
-            os.environ.pop("COCOINDEX_CODE_TRUST_REMOTE_CODE", None)
-            config = Config.from_env()
-            assert config.trust_remote_code is False
-
-    def test_true_when_env_var_set_to_true(self, tmp_path: Path) -> None:
-        with patch.dict(
-            os.environ,
-            {
-                "COCOINDEX_CODE_ROOT_PATH": str(tmp_path),
-                "COCOINDEX_CODE_TRUST_REMOTE_CODE": "true",
-            },
-        ):
-            config = Config.from_env()
-            assert config.trust_remote_code is True
-
-    def test_true_when_env_var_set_to_1(self, tmp_path: Path) -> None:
-        with patch.dict(
-            os.environ,
-            {
-                "COCOINDEX_CODE_ROOT_PATH": str(tmp_path),
-                "COCOINDEX_CODE_TRUST_REMOTE_CODE": "1",
-            },
-        ):
-            config = Config.from_env()
-            assert config.trust_remote_code is True
-
     def test_default_model_is_minilm(self, tmp_path: Path) -> None:
         with patch.dict(
             os.environ,