Downloads · 30 days
9
24% of all-time downloads
domain-specific-modern-bert-spam-classifier
udbhav89/domain-specific-modern-bert-spam-classifier
domain-specific-modern-bert-spam-classifier is a text classification model from udbhav89. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned ModernBERT model for spam classification with domain-specific prefixes.
All-time downloads
37
Public
Parameters
150M
598 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors598 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jan 16, 2026
- Updated
- Jan 16, 2026
- SHA
- 7911efaf
Try a prompt
Model card
From the Hugging Face model README
Domain-Specific ModernBERT Spam Classifier
Fine-tuned ModernBERT model for spam classification with domain-specific prefixes.
Usage
This model expects text with a domain prefix:
[crypto]for crypto/blockchain related content[rideshare]for rideshare/transportation related content
Example:
from transformers import pipeline
classifier = pipeline("text-classification", model="udbhav89/domain-specific-modern-bert-spam-classifier")
# Crypto domain
result = classifier("[crypto] FREE BITCOIN! Send 0.1 ETH to get 10 BTC back!")
# Returns: [{'label': 'spam', 'score': 0.97}]
# Rideshare domain
result = classifier("[rideshare] Great ride, thanks driver!")
# Returns: [{'label': 'not_spam', 'score': 0.99}]
Labels
not_spam(0): Legitimate messagespam(1): Spam message
Training
- Base model:
answerdotai/ModernBERT-base - Training data: 50k samples (25k crypto, 25k rideshare)
- Focal loss for imbalanced data
- Trained on A100 GPU
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 16, 2026
- Updated
- Jan 16, 2026