Update README.md

README.md

@@ -1,14 +1,3 @@
-# `myshell_nsfw_filter` Image Classification with Hugging Face Transformers
-
-This README demonstrates how to use the `myshell_nsfw_filter` model hosted on Hugging Face for image classification. 
-
-## Prerequisites
-
-1. Install the required Python packages:
-```bash
-pip install transformers requests Pillow
-```
-
 ## Example Usage
 
 Here's a step-by-step Python code example to classify an image:
@@ -34,12 +23,4 @@ results = pipe(image)
 label = results[0]['label']
 score = results[0]['score']
 print(f"{label}: {score:.4f}")
-```
-
-## Conclusion
-
-Using the Hugging Face Transformers library, it's straightforward to load and classify images with the `myshell_nsfw_filter` model. This README showcased a simple example, and you can easily adapt it for your own images or applications!
-
----
-
-You can use this content for the README.md file in your repository. This provides a clear introduction and step-by-step guidance for users looking to leverage your model.
+```