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()