Update README.md

README.md

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-license: mit
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+# Language Detection Model
+
+## Overview
+
+This model is designed for language detection. It can classify text into three languages: English, Russian, and Uzbek.
+
+## Usage
+
+- Load the model using the Hugging Face Transformers library.
+- Preprocess your text data.
+- Make predictions with the model.
+
+## Model Files
+
+- `config.json`: Model configuration.
+- `pytorch_model.bin`: Model weights.
+
+## Example
+
+Here's how to use the model in Python:
+
+```python
+# Load the model
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("your-username/language_detection_model")
+tokenizer = AutoTokenizer.from_pretrained("your-username/language_detection_model")
+
+# Preprocess your text and make predictions
+text = "This is an example text."
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs)
+predicted_class = outputs.logits.argmax().item()