diff --git a/huggingface_pipelines/audio.py b/huggingface_pipelines/audio.py
index 8df4931..8eb0bac 100644
--- a/huggingface_pipelines/audio.py
+++ b/huggingface_pipelines/audio.py
@@ -140,6 +140,8 @@ class HFAudioToEmbeddingPipeline(Pipeline):
         pipeline = HFAudioToEmbeddingPipeline(pipeline_config)
     """
 
+    config: HFAudioToEmbeddingPipelineConfig
+
     def __init__(self, config: HFAudioToEmbeddingPipelineConfig):
         """
         Initialize the HFAudioToEmbeddingPipeline.
@@ -238,14 +240,16 @@ def process_batch(self, batch: Dict[str, Any]) -> Dict[str, Any]:
         try:
             for column in self.config.columns:
                 if column not in batch:
-                    logger.warning(f"Column {column} not found in batch. Skipping.")
+                    logger.warning(
+                        f"Column {column} not found in batch. Skipping.")
                     continue
 
                 audio_inputs = self.collect_valid_audio_inputs(batch[column])
 
                 if not audio_inputs:
 
-                    raise ValueError(f"No valid audio inputs found in column {column}/")
+                    raise ValueError(
+                        f"No valid audio inputs found in column {column}/")
 
                 try:
 
@@ -255,7 +259,7 @@ def process_batch(self, batch: Dict[str, Any]) -> Dict[str, Any]:
 
                         batch_inputs = [
                             tensor.to(self.config.device)
-                            for tensor in audio_inputs[i : i + self.config.batch_size]
+                            for tensor in audio_inputs[i: i + self.config.batch_size]
                         ]
 
                         batch_embeddings = self.model.predict(