Jurabek/language_identifications

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:

# 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()