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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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-
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- ## Prerequisites
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-
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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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-
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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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-
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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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+ ```