javokhirraimov/uzbek_news_classifier

Uzbek News Classifier 🇺🇿

This is a fine-tuned Transformer-based model for classifying Uzbek-language news articles into one of the following categories:

• Fan va texnika (Science and Technology)
• Jahon (World)
• Jamiyat (Public)
• O'zbekiston (Uzbekistan)
• Qonunchilik (Law)
• Sport (Sport)

Training Progress

Below is a snapshot of the model's training performance during fine-tuning:

![Training Metrics](

)

How to Use

You can easily load and use this model with the Transformers pipeline:

from transformers import pipeline
import torch

# Load directly from Hugging Face Hub
classifier = pipeline(
    "text-classification",
    model="javokhirraimov/uzbek_news_classifier",
    tokenizer="javokhirraimov/uzbek_news_classifier",
    device=0 if torch.cuda.is_available() else -1
)


##  Training Progress

Below is a snapshot of the model's training performance during fine-tuning:

![Training Metrics](training_metrics.jpg)

## How to Use

You can easily load and use this model with the  Transformers `pipeline`:

```python
from transformers import pipeline
import torch

# Load directly from Hugging Face Hub
classifier = pipeline(
    "text-classification",
    model="javokhirraimov/uzbek_news_classifier",
    tokenizer="javokhirraimov/uzbek_news_classifier",
    device=0 if torch.cuda.is_available() else -1
)

# Test it
result = classifier("Toshkentda yangi futbol stadioni qurilmoqda")
print(f"Predicted: {result[0]['label']} (Confidence: {result[0]['score']:.2f})")


Predicted: sport (Confidence: 0.99)