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  # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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  ## Model Details
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  ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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  ### Model Sources [optional]
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  # Model Card for Model ID
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+ This model card describes the fine-tuned `distilbert-base-uncased` model for multi-class explicit content classification.
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+ **Disclaimer:** The name "CSAM" used for this repository reflects the project's focus on content safety assessment based on the specific categories trained (`neutral`, `toxic`, `profanity`, `sexting`, `sexually_explicit`). This model is **NOT** designed or trained for the detection of Child Sexual Abuse Material, which requires specialized data and methods.
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  ## Model Details
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  ### Model Description
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+ - **Developed by:** Nirav37 (fine-tuning performed via conversation with Google Gemini)
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+ - **Funded by [optional]:** [More Information Needed - Likely Personal/Educational Project]
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+ - **Shared by [optional]:** Nirav37
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+ - **Model type:** Sequence Classification (Transformer)
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+ - **Language(s) (NLP):** en (English)
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+ - **License:**
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+ - **Finetuned from model:** `distilbert-base-uncased`
 
 
 
 
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  ### Model Sources [optional]
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