diff --git a/docs/docs/computer-vision/useStyleTransfer.mdx b/docs/docs/computer-vision/useStyleTransfer.mdx
index da3e584..cd9198e 100644
--- a/docs/docs/computer-vision/useStyleTransfer.mdx
+++ b/docs/docs/computer-vision/useStyleTransfer.mdx
@@ -6,7 +6,7 @@ sidebar_position: 3
 Style transfer is a technique used in computer graphics and machine learning where the visual style of one image is applied to the content of another. This is achieved using algorithms that manipulate data from both images, typically with the aid of a neural network. The result is a new image that combines the artistic elements of one picture with the structural details of another, effectively merging art with traditional imagery. React Native ExecuTorch offers a dedicated hook `useStyleTransfer`, for this task. However before you start you'll need to obtain ExecuTorch-compatible model binary.
 
 :::caution
-It is recommended to use models provided by us which are available at our [HuggingFace repository](https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy), you can also use [constants](https://github.com/software-mansion/react-native-executorch/tree/main/src/constants/modelUrls.ts) shipped with our library
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy), you can also use [constants](https://github.com/software-mansion/react-native-executorch/tree/main/src/constants/modelUrls.ts) shipped with our library
 :::
 
 ## Reference
@@ -60,7 +60,7 @@ A string that specifies the location of the model binary. For more information,
 
 ## Running the model
 
-To run the moel, you can use `forward` method. It accepts one argument, which is the image. The image can be a remote URL, a local file URI, or a base64-encoded image. The function returns a promise which can resolve either to error or a URL to generated image.
+To run the model, you can use `forward` method. It accepts one argument, which is the image. The image can be a remote URL, a local file URI, or a base64-encoded image. The function returns a promise which can resolve either to error or a URL to generated image.
 
 :::info
 Images from external sources and the generated image are stored in your application's temporary directory.
diff --git a/docs/docs/module-api/executorch-bindings.md b/docs/docs/module-api/executorch-bindings.md
index 960c60b..ea2c5f2 100644
--- a/docs/docs/module-api/executorch-bindings.md
+++ b/docs/docs/module-api/executorch-bindings.md
@@ -76,7 +76,6 @@ const executorchModule = useExecutorchModule({
 });
 ```
 
-s
 
 ### Setting up input parameters