diff --git a/docs/installation.rst b/docs/installation.rst
index dd3be4d..8d6c8a0 100644
--- a/docs/installation.rst
+++ b/docs/installation.rst
@@ -10,6 +10,7 @@ To install the Saga LLM Evaluation ML library, use the following command:
 If you want to use the Scorer class, you need to install the following dependencies:
 
 .. code-block:: bash
+    
     pip install "saga-llm-evaluation[scorer]"
 
 However, beware that this will downgrade the version of the `pandas` library to 1.5.3 if you have a higher version installed. This is due to a compatibility issue with the `pandas` library.
diff --git a/docs/usage.rst b/docs/usage.rst
index 89d6b6b..5ae953c 100644
--- a/docs/usage.rst
+++ b/docs/usage.rst
@@ -8,6 +8,7 @@ The Scorer is a class that allows you to run multiple metrics at once. The metri
 If you want to use the Scorer class, you need to install the following dependencies:
 
 .. code-block:: bash
+    
     pip install "saga-llm-evaluation[scorer]"
 
 However, beware that this will downgrade the version of the `pandas` library to 1.5.3 if you have a higher version installed. This is due to a compatibility issue with the `pandas` library.
diff --git a/saga_llm_evaluation/__init__.py b/saga_llm_evaluation/__init__.py
index def467e..5c68f39 100644
--- a/saga_llm_evaluation/__init__.py
+++ b/saga_llm_evaluation/__init__.py
@@ -1 +1,12 @@
+from elemeta.nlp import english_punctuations, english_stopwords, extended_punctuations
+from elemeta.nlp.extractors.high_level import *
+from elemeta.nlp.extractors.low_level.abstract_metafeature_extractor import (
+    AbstractMetafeatureExtractor,
+)
+
+from .helpers.embedding_metrics import MAUVE, BERTScore
+from .helpers.language_metrics import BLEURTScore, QSquared
+from .helpers.llm_metrics import GEval, GPTScore, SelfCheckGPT
+from .helpers.utils import MetadataExtractor, get_llama_model
+
 __version__ = "0.12.1"