diff --git a/docs/source/conf.py b/docs/source/conf.py
index e6fe075..99b69b8 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -16,7 +16,7 @@
 project = 'RAGoon'
 copyright = '2024, Louis Brulé Naudet'
 author = 'Louis Brulé Naudet'
-release = '0.0.10'
+release = '0.0.11'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
diff --git a/pyproject.toml b/pyproject.toml
index 9c777e8..db36ce6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "ragoon"
-version = "0.0.10"
+version = "0.0.11"
 description = "RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡"
 readme = "README.md"
 requires-python = ">=3.9"
diff --git a/src/ragoon/embeddings.py b/src/ragoon/embeddings.py
index 9c6874f..a1eae12 100644
--- a/src/ragoon/embeddings.py
+++ b/src/ragoon/embeddings.py
@@ -128,8 +128,8 @@ class EmbeddingsDataLoader:
     """
     def __init__(
         self,
-        token: str = None,
         model_configs: List[Dict[str, str]],
+        token: str = None,
         dataset_name: Optional[str] = None,
         dataset: Optional[Union[Dataset, DatasetDict]] = None,
         batch_size: Optional[int] = 8,
@@ -141,24 +141,24 @@ def __init__(
 
         Parameters
         ----------
-        token : str
-            The token for accessing Hugging Face API. Default is None.
-        
         model_configs : list of dict
             The list of dictionaries with model configurations to use for generating embeddings.
-        
+            
+        token : str
+            The token for accessing Hugging Face API. Default is None.
+
         dataset_name : str, optional
             The name of the dataset to load from Hugging Face. Default is None.
-        
+
         dataset : Dataset or DatasetDict, optional
             The dataset to process. Default is None.
-        
+
         batch_size : int, optional
             The number of samples to process in each batch. Default is 16.
-        
+
         convert_to_tensor : bool, optional
             Whether the output should be one large tensor. Default is False.
-        
+
         device : str, optional
             The device used for embedding processing if torch.cuda.is_available() is not reliable.
             Useful when using the Zero GPU on Hugging Face Space. Default is 'cuda'.