| # 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() | |