diff --git a/backend/oasst_backend/api/v1/hugging_face.py b/backend/oasst_backend/api/v1/hugging_face.py
index a8d8aeb9..62d2ea6b 100644
--- a/backend/oasst_backend/api/v1/hugging_face.py
+++ b/backend/oasst_backend/api/v1/hugging_face.py
@@ -4,7 +4,7 @@ from fastapi import APIRouter, Depends
 from oasst_backend.api import deps
 from oasst_backend.models import ApiClient
 from oasst_backend.schemas.hugging_face import ToxicityClassification
-from oasst_backend.utils.hugging_face import HF_url, HuggingFaceAPI
+from oasst_backend.utils.hugging_face import HfUrl, HuggingFaceAPI
 
 router = APIRouter()
 
@@ -25,7 +25,7 @@ async def get_text_toxicity(
         ToxicityClassification: the score of toxicity of the message.
     """
 
-    api_url: str = HF_url.HUGGINGFACE_TOXIC_ROBERTA.value
+    api_url: str = HfUrl.HUGGINGFACE_TOXIC_ROBERTA.value
     hugging_face_api = HuggingFaceAPI(api_url)
     response = await hugging_face_api.post(msg)
 
diff --git a/backend/oasst_backend/api/v1/tasks.py b/backend/oasst_backend/api/v1/tasks.py
index 186a6ac8..821ba562 100644
--- a/backend/oasst_backend/api/v1/tasks.py
+++ b/backend/oasst_backend/api/v1/tasks.py
@@ -9,7 +9,7 @@ from oasst_backend.api import deps
 from oasst_backend.api.v1.utils import prepare_conversation
 from oasst_backend.config import settings
 from oasst_backend.prompt_repository import PromptRepository, TaskRepository
-from oasst_backend.utils.hugging_face import HF_embeddingModel, HF_url, HuggingFaceAPI
+from oasst_backend.utils.hugging_face import HfEmbeddingModel, HfUrl, HuggingFaceAPI
 from oasst_shared.exceptions import OasstError, OasstErrorCode
 from oasst_shared.schemas import protocol as protocol_schema
 from sqlmodel import Session
@@ -285,15 +285,15 @@ async def tasks_interaction(
                 if not settings.DEBUG_SKIP_EMBEDDING_COMPUTATION:
                     try:
                         hugging_face_api = HuggingFaceAPI(
-                            f"{HF_url.HUGGINGFACE_FEATURE_EXTRACTION.value}/{HF_embeddingModel.MINILM.value}"
+                            f"{HfUrl.HUGGINGFACE_FEATURE_EXTRACTION.value}/{HfEmbeddingModel.MINILM.value}"
                         )
                         embedding = await hugging_face_api.post(interaction.text)
                         pr.insert_message_embedding(
-                            message_id=newMessage.id, model=HF_embeddingModel.MINILM.value, embedding=embedding
+                            message_id=newMessage.id, model=HfEmbeddingModel.MINILM.value, embedding=embedding
                         )
                     except OasstError:
                         logger.error(
-                            f"Could not fetch embbeddings for  text reply to {interaction.message_id=} with {interaction.text=} by {interaction.user=}."
+                            f"Could not fetch embbeddings for text reply to {interaction.message_id=} with {interaction.text=} by {interaction.user=}."
                         )
 
                 return protocol_schema.TaskDone()
diff --git a/backend/oasst_backend/utils/hugging_face.py b/backend/oasst_backend/utils/hugging_face.py
index ef440055..87c6288e 100644
--- a/backend/oasst_backend/utils/hugging_face.py
+++ b/backend/oasst_backend/utils/hugging_face.py
@@ -7,12 +7,12 @@ from oasst_backend.config import settings
 from oasst_shared.exceptions import OasstError, OasstErrorCode
 
 
-class HF_url(str, Enum):
+class HfUrl(str, Enum):
     HUGGINGFACE_TOXIC_ROBERTA = ("https://api-inference.huggingface.co/models/unitary/multilingual-toxic-xlm-roberta",)
     HUGGINGFACE_FEATURE_EXTRACTION = "https://api-inference.huggingface.co/pipeline/feature-extraction"
 
 
-class HF_embeddingModel(str, Enum):
+class HfEmbeddingModel(str, Enum):
     MINILM = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"