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@@ -63,9 +63,7 @@ The model is designed for responsible data management, ensuring that sensitive i
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  To use this model, you can load it from the Hugging Face Hub and integrate it into your Python or API-based applications. Below is an example of how to load and use the model:
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  ```python
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- Here's the code with comments explaining each line:
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- ```python
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  # Install necessary packages from the unsloth GitHub repository and others required for model handling and optimizations.
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  !pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
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  !pip install --no-deps "xformers<0.0.27" "trl<0.9.0" peft accelerate bitsandbytes
@@ -120,7 +118,6 @@ redacted_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)
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  print(redacted_text[0])
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  ```
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- ```
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  ### Citation
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  To use this model, you can load it from the Hugging Face Hub and integrate it into your Python or API-based applications. Below is an example of how to load and use the model:
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  ```python
 
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  # Install necessary packages from the unsloth GitHub repository and others required for model handling and optimizations.
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  !pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
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  !pip install --no-deps "xformers<0.0.27" "trl<0.9.0" peft accelerate bitsandbytes
 
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  print(redacted_text[0])
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  ```
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  ### Citation
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