diff --git a/README.md b/README.md
index d44bb128..f6b96b2e 100644
--- a/README.md
+++ b/README.md
@@ -35,7 +35,7 @@ Deploy a pre-trained embedding model without writing a single line of code.
 ``` bash
 git clone https://github.com/dice-group/dice-embeddings.git
 conda create -n dice python=3.9 --no-default-packages && conda activate dice
-pip3 install -r requirements.txt
+cd dice-embeddings && pip3 install -r requirements.txt
 ```
 or
 ```bash
@@ -311,7 +311,6 @@ If you really like our work and want to cite it now, feel free to chose one :)
   pages={1--10},
   year={2022}
 }
-
 # QMult, OMult, ConvQ, ConvO
 @InProceedings{pmlr-v157-demir21a,
   title = 	 {Convolutional Hypercomplex Embeddings for Link Prediction},
diff --git a/setup.py b/setup.py
index 2a25ccb3..9d6e0232 100644
--- a/setup.py
+++ b/setup.py
@@ -4,7 +4,7 @@
 setup(
     name="dicee",
     description="Dice embedding is an hardware-agnostic framework for large-scale knowledge graph embedding applications",
-    version="0.0.6",
+    version="0.0.7",
     packages=find_packages(),
     install_requires=[
         "torch>=2.0.0",