Create README.md

README.md

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+# 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")
+```