From b13f0a3f927e52b5ccb9ec6f36064f19a1f5af9e Mon Sep 17 00:00:00 2001
From: saanikat <saanikatambe@gmail.com>
Date: Fri, 13 Sep 2024 16:19:50 -0400
Subject: [PATCH] minor changes

---
 attribute_standardizer/attr_standardizer.py | 1 -
 attribute_standardizer/utils.py             | 4 ++--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/attribute_standardizer/attr_standardizer.py b/attribute_standardizer/attr_standardizer.py
index 13bf949..6825392 100644
--- a/attribute_standardizer/attr_standardizer.py
+++ b/attribute_standardizer/attr_standardizer.py
@@ -86,7 +86,6 @@ def _get_parameters(self) -> Tuple[int, int, int, int, int, float]:
     def _load_model(self) -> nn.Module:
         """
         Calls function to load the model from HuggingFace repository and sets to eval().
-
         :return nn.Module: Loaded Neural Network Model.
         """
         try:
diff --git a/attribute_standardizer/utils.py b/attribute_standardizer/utils.py
index aff492e..7e24487 100644
--- a/attribute_standardizer/utils.py
+++ b/attribute_standardizer/utils.py
@@ -186,7 +186,7 @@ def data_encoding(
     X_values_embeddings = embeddings
     if schema == "ENCODE":
         # Bag of Words Vectorizer
-        vectorizer = CountVectorizer()
+        vectorizer = None
         vc_path = hf_hub_download(
             repo_id=REPO_ID,
             filename=ENCODE_VECTORIZER_FILENAME,
@@ -202,7 +202,7 @@ def data_encoding(
         # print(transformed_columns)
         X_values_bow = transformed_columns
         # Label Encoding
-        label_encoder = LabelEncoder()
+        label_encoder = None
         lb_path = hf_hub_download(
             repo_id=REPO_ID,
             filename=ENCODE_LABEL_ENCODER_FILENAME,