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exasol · Aug 5, 2024 · 10cc7d4 · 10cc7d4
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diff --git a/doc/changes/changes_2.0.0.md b/doc/changes/changes_2.0.0.md
@@ -4,7 +4,7 @@ Code name: Python update and fixed model saving
 
 ## Summary
 
-This release Fixes an error in the saving and loading of model metadata. It also adds Exasol Saas support and 
+This release Fixes an error in saving and loading of the model metadata. It also adds Exasol Saas support and 
 updated the project to python 3.10
 
 

diff --git a/doc/user_guide/user_guide.md b/doc/user_guide/user_guide.md
@@ -291,7 +291,7 @@ severely. Available task_types are the same as the names of our available UDFs,
 
 ### 2. Model Uploader Script
 You can invoke the python script as below which allows to download the transformer 
-models from The Hugging Face hub to the local filesystem, and then from there to the Bucketfs.
+models from The Hugging Face hub to the local filesystem, and then from there to the BucketFS.
 
 
 #### List of options

diff --git a/exasol_transformers_extension/upload_model.py b/exasol_transformers_extension/upload_model.py
@@ -98,7 +98,7 @@ def main(
         downloader.download_from_huggingface_hub(model)
         # upload model files to BucketFS
     model_tar_file_path = downloader.upload_to_bucketfs()
-    print("your model or tokenizer has been saved in the BucketFS at: " + str(model_tar_file_path))
+    print("Your model or tokenizer has been saved in the BucketFS at: " + str(model_tar_file_path))
 
 
 if __name__ == '__main__':

diff --git a/tests/integration_tests/without_db/udfs/test_sequence_classification_single_text_udf.py b/tests/integration_tests/without_db/udfs/test_sequence_classification_single_text_udf.py
@@ -11,7 +11,6 @@
 from tests.utils.parameters import model_params
 from tests.utils.mock_connections import create_mounted_bucketfs_connection
 
-# debug
 from tests.fixtures.model_fixture import *
 from tests.fixtures.setup_database_fixture import *
 from tests.fixtures.language_container_fixture import *