Create handler.py

handler.py

@@ -0,0 +1,21 @@
+from sentence_transformers import SentenceTransformer
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        # Here is the magic override that bypasses the Hugging Face bug
+        print("Initializing Nemotron 8B with trust_remote_code=True...")
+        self.model = SentenceTransformer("nvidia/llama-embed-nemotron-8b", trust_remote_code=True)
+        print("Model loaded successfully!")
+
+    def __call__(self, data):
+        """
+        This runs every time your Vectorize script sends text to the endpoint.
+        """
+        # Get the text from the API request
+        inputs = data.pop("inputs", data)
+        
+        # Generate the math vectors
+        embeddings = self.model.encode(inputs)
+        
+        # Return it as a standard Python list so your local script can read it
+        return embeddings.tolist()