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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("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()
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