diff --git a/scraibe/cli.py b/scraibe/cli.py
index e4eeaad..323a1b1 100644
--- a/scraibe/cli.py
+++ b/scraibe/cli.py
@@ -100,6 +100,7 @@ def str2bool(string):
                     'whisper_type':arg_dict.pop("whisper_type"),
                     'dia_model': arg_dict.pop("diarization_directory"),
                     'use_auth_token': arg_dict.pop("hf_token"),
+                    'device': arg_dict.pop('inference_device')
                     }
 
     if arg_dict["whisper_model_directory"]:
diff --git a/scraibe/transcriber.py b/scraibe/transcriber.py
index bc341dc..a5d6f37 100644
--- a/scraibe/transcriber.py
+++ b/scraibe/transcriber.py
@@ -36,7 +36,7 @@
 from abc import abstractmethod
 import warnings
 
-from .misc import WHISPER_DEFAULT_PATH, SCRAIBE_TORCH_DEVICE, SCRAIBE_NUM_THREADS
+import scraibe.misc
 whisper = TypeVar('whisper')
 
 
@@ -122,8 +122,8 @@ def save_transcript(transcript: str, save_path: str) -> None:
     def load_model(cls,
                    model: str = "medium",
                    whisper_type: str = 'whisper',
-                   download_root: str = WHISPER_DEFAULT_PATH,
-                   device: Optional[Union[str, device]] = SCRAIBE_TORCH_DEVICE,
+                   download_root: str = scraibe.misc.WHISPER_DEFAULT_PATH,
+                   device: Optional[Union[str, device]] = scraibe.misc.SCRAIBE_TORCH_DEVICE,
                    in_memory: bool = False,
                    *args, **kwargs
                    ) -> None:
@@ -204,8 +204,8 @@ def transcribe(self, audio: Union[str, Tensor, ndarray],
     @classmethod
     def load_model(cls,
                    model: str = "medium",
-                   download_root: str = WHISPER_DEFAULT_PATH,
-                   device: Optional[Union[str, device]] = SCRAIBE_TORCH_DEVICE,
+                   download_root: str = scraibe.misc.WHISPER_DEFAULT_PATH,
+                   device: Optional[Union[str, device]] = scraibe.misc.SCRAIBE_TORCH_DEVICE,
                    in_memory: bool = False,
                    *args, **kwargs
                    ) -> 'WhisperTranscriber':
@@ -303,8 +303,8 @@ def transcribe(self, audio: Union[str, Tensor, ndarray],
     @classmethod
     def load_model(cls,
                    model: str = "medium",
-                   download_root: str = WHISPER_DEFAULT_PATH,
-                   device: Optional[Union[str, device]] = SCRAIBE_TORCH_DEVICE,
+                   download_root: str = scraibe.misc.WHISPER_DEFAULT_PATH,
+                   device: Optional[Union[str, device]] = scraibe.misc.SCRAIBE_TORCH_DEVICE,
                    *args, **kwargs
                    ) -> 'FasterWhisperModel':
         """
@@ -349,7 +349,7 @@ def load_model(cls,
             compute_type = 'int8'
         _model = FasterWhisperModel(model, download_root=download_root,
                                     device=device, compute_type=compute_type, 
-                                    cpu_threads=SCRAIBE_NUM_THREADS)
+                                    cpu_threads=scraibe.misc.SCRAIBE_NUM_THREADS)
 
         return cls(_model, model_name=model)
 
@@ -411,8 +411,8 @@ def __repr__(self) -> str:
 
 def load_transcriber(model: str = "medium",
                      whisper_type: str = 'whisper',
-                     download_root: str = WHISPER_DEFAULT_PATH,
-                     device: Optional[Union[str, device]] = SCRAIBE_TORCH_DEVICE,
+                     download_root: str = scraibe.misc.WHISPER_DEFAULT_PATH,
+                     device: Optional[Union[str, device]] = scraibe.misc.SCRAIBE_TORCH_DEVICE,
                      in_memory: bool = False,
                      *args, **kwargs
                      ) -> Union[WhisperTranscriber, FasterWhisperTranscriber]: