Fix typo

Author: ghukill

embeddings/models/os_neural_sparse_doc_v3_gte.py

@@ -275,7 +275,7 @@ def _get_sparse_vectors(
             2. log(1 + log(1 + relu())) transformation
             3. Zero out special tokens
 
-        The end resul is a sparse vector with a length of the model vocabulary, with each
+        The end result is a sparse vector with a length of the model vocabulary, with each
         position representing a token in the model vocabulary and each value representing
         that token's weight relative to the input text.