diff --git a/docs/src/embeddings/default_embedding_functions.md b/docs/src/embeddings/default_embedding_functions.md
index 14910485..00293360 100644
--- a/docs/src/embeddings/default_embedding_functions.md
+++ b/docs/src/embeddings/default_embedding_functions.md
@@ -17,6 +17,7 @@ Allows you to set parameters when registering a `sentence-transformers` object.
 | `name` | `str` | `all-MiniLM-L6-v2` | The name of the model |
 | `device` | `str` | `cpu` | The device to run the model on (can be `cpu` or `gpu`) |
 | `normalize` | `bool` | `True` | Whether to normalize the input text before feeding it to the model |
+| `trust_remote_code` | `bool` | `False` | Whether to trust and execute remote code from the model's Huggingface repository |
 
 
 ??? "Check out available sentence-transformer models here!"
diff --git a/python/python/lancedb/embeddings/sentence_transformers.py b/python/python/lancedb/embeddings/sentence_transformers.py
index 97fe1318..fe8e997d 100644
--- a/python/python/lancedb/embeddings/sentence_transformers.py
+++ b/python/python/lancedb/embeddings/sentence_transformers.py
@@ -31,6 +31,7 @@ class SentenceTransformerEmbeddings(TextEmbeddingFunction):
     name: str = "all-MiniLM-L6-v2"
     device: str = "cpu"
     normalize: bool = True
+    trust_remote_code: bool = False
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
@@ -40,8 +41,8 @@ class SentenceTransformerEmbeddings(TextEmbeddingFunction):
     def embedding_model(self):
         """
         Get the sentence-transformers embedding model specified by the
-        name and device. This is cached so that the model is only loaded
-        once per process.
+        name, device, and trust_remote_code. This is cached so that the
+        model is only loaded once per process.
         """
         return self.get_embedding_model()
 
@@ -71,12 +72,14 @@ class SentenceTransformerEmbeddings(TextEmbeddingFunction):
     def get_embedding_model(self):
         """
         Get the sentence-transformers embedding model specified by the
-        name and device. This is cached so that the model is only loaded
-        once per process.
+        name, device, and trust_remote_code. This is cached so that the
+        model is only loaded once per process.
 
         TODO: use lru_cache instead with a reasonable/configurable maxsize
         """
         sentence_transformers = attempt_import_or_raise(
             "sentence_transformers", "sentence-transformers"
         )
-        return sentence_transformers.SentenceTransformer(self.name, device=self.device)
+        return sentence_transformers.SentenceTransformer(
+            self.name, device=self.device, trust_remote_code=self.trust_remote_code
+        )