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# Model Card for Model ID
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## Model Details
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### Model Description
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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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