# Text Classification Model
   - Type: Fine-tuned BERT-based text classification model
   - Description: This model has been fine-tuned using [AzerBERT](https://huggingface.co/language-ml-lab/AzerBert) for text classification tasks. It is designed to categorize text into one of the following four categories: literature, sports, history, and geography.

## How to use
```python
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="language-ml-lab/classification-azb")
```

```python
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/classification-azb")
model = AutoModelForSequenceClassification.from_pretrained("language-ml-lab/classification-azb")
```