diff --git a/.github/workflows/github-actions-python-package.yml b/.github/workflows/github-actions-python-package.yml
index 5e0c2832..c8d53f9b 100644
--- a/.github/workflows/github-actions-python-package.yml
+++ b/.github/workflows/github-actions-python-package.yml
@@ -22,7 +22,7 @@ jobs:
           pip install -r requirements.txt
       - name: Lint with ruff
         run: |
-          ruff --format=github --select=F63,F7,F82 --target-version=py39 dicee/.
+          ruff  dicee/
       - name: Test with pytest
         run: |
           wget https://files.dice-research.org/datasets/dice-embeddings/KGs.zip --no-check-certificate && unzip KGs.zip
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/pyproject.toml b/pyproject.toml
index c12b842e..532e221b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "dicee"
 requires-python = ">=3.9"
-version="0.0.6"
+version="0.0.7"
 authors = [
   { name="Caglar Demir", email="caglardemir8@gmail.com" },
 ]
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",