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