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README.md
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# `myshell_nsfw_filter` Image Classification with Hugging Face Transformers
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This README demonstrates how to use the `myshell_nsfw_filter` model hosted on Hugging Face for image classification.
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## Prerequisites
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1. Install the required Python packages:
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```bash
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pip install transformers requests Pillow
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```
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## Example Usage
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Here's a step-by-step Python code example to classify an image:
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label = results[0]['label']
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score = results[0]['score']
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print(f"{label}: {score:.4f}")
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```
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## Conclusion
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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!
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---
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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.
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## Example Usage
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Here's a step-by-step Python code example to classify an image:
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label = results[0]['label']
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score = results[0]['score']
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print(f"{label}: {score:.4f}")
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```
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