diff --git a/docs/source/conf.py b/docs/source/conf.py
index 99b69b8..a96b06f 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 = '0.0.11'
+release = '0.0.12'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
diff --git a/pyproject.toml b/pyproject.toml
index db36ce6..eedb78f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "ragoon"
-version = "0.0.11"
+version = "0.0.12"
 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 a1eae12..c811dbb 100644
--- a/src/ragoon/embeddings.py
+++ b/src/ragoon/embeddings.py
@@ -143,7 +143,7 @@ def __init__(
         ----------
         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.
 
@@ -163,12 +163,14 @@ def __init__(
             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'.
         """
-        if not token or not isinstance(token, str):
+        if token and not isinstance(token, str):
             raise ValueError("Invalid token. Please provide a non-empty string.")
+
         if not model_configs or not isinstance(model_configs, list):
             raise ValueError(
                 "Invalid model configurations. Please provide a non-empty list of dictionaries."
             )
+            
         if not isinstance(batch_size, int) or batch_size <= 0:
             raise ValueError("Invalid batch size. Please provide a positive integer.")