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javokhirraimov/
uzbek_news_classifier

Name: uzbek_news_classifier
Availability: InStock

safetensors

xlm-roberta

mit

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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:

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
)


##  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)