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---
license: apache-2.0
language:
- en
metrics:
- accuracy
base_model:
- distilbert-base-uncased
pipeline_tag: text-classification
library_name: transformers
tags:
- text-classification
- news
- distilbert
- huggingface
- ag_news
---
# 📚 DistilBERT News Classifier by Dheeraj
A text classification model fine-tuned on news headlines to classify them into one of four categories:
- `0 → Sports`
- `1 → Business`
- `2 → Tech`
- `3 → Science`
## 🧠 Model Info
This model is built using [DistilBERT](https://huggingface.co/distilbert-base-uncased) and fine-tuned using Hugging Face's `Trainer` API.
It is trained on a small dataset of sample headlines, inspired by AG News, for demonstration and educational purposes.
## 🚀 Example Usage
```python
from transformers import pipeline
classifier = pipeline("text-classification", model="Dheeraj3103/distilbert-news-classifier-dheeraj")
result = classifier("NASA finds evidence of water on Mars.")
print(result)
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