# Model Card for Racist/Sexist Detection BERT

### Model Description

This model is a fine-tuned BERT model (`bert-base-uncased`) designed for text classification, specifically to detect whether a given text is **racist**, **sexist**, or **neutral**. The model has been trained on labeled data to identify harmful language and categorize it accordingly.

- **Developed by:** Om1024

## Uses

### Direct Use

This model can be used to classify text into three categories: **racist** or **sexist** based on the content provided.

### Out-of-Scope Use

This model is not suitable for tasks other than text classification in the specific domain of racist or sexist language detection.

## How to Get Started with the Model

Use the following code to load and use the model:

```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Om1024/racist-bert")
model = AutoModelForSequenceClassification.from_pretrained("Om1024/racist-bert")
```

## Training Details

- **Base Model:** `bert-base-uncased`
- **Fine-tuning Data:** Labeled dataset with categories for **racist**, **sexist** text.

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