Downloads · 30 days
23
23% of all-time downloads
fake-news-detector-transformer
anshy047/fake-news-detector-transformer
fake-news-detector-transformer is a text classification model from anshy047. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned DistilBERT model designed to classify news articles as FAKE or REAL.
All-time downloads
102
Public
Parameters
67M
268 MB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 30, 2026
- SHA
- 5a794f8c
Try a prompt
Base models
Model card
From the Hugging Face model README
🧠 Fake News Detection using Transformer
This model is a fine-tuned DistilBERT model designed to classify news articles as FAKE or REAL.
🚀 Model Overview
- Base Model: distilbert-base-uncased
- Task: Text Classification
- Labels: FAKE, REAL
- Architecture: Transformer-based (DistilBERT)
📊 Performance
- Accuracy: ~98%
- F1 Score: ~0.98
📂 Dataset
Trained on a combined dataset including:
- Fake news datasets
- Real news datasets
- Cleaned and preprocessed text corpus
🧠 How It Works
The model analyzes:
- Semantic meaning of text
- Contextual relationships
- Writing patterns
⚡ Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="your-username/your-model")
classifier("Breaking news: Scientists discover new planet")
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Languages
- en
- Created
- Mar 28, 2026
- Updated
- Mar 30, 2026