# 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("Jurabek/language_identifications")
tokenizer = AutoTokenizer.from_pretrained("Jurabek/language_identifications")


inputs = tokenizer(audio, return_tensors="pt")
outputs = model(**inputs)
predicted_class = outputs.logits.argmax().item()