Text Classification
Transformers
Safetensors
English
modernbert
domain-generation-algorithm
cybersecurity
domain-classification
security
malware-detection
text-embeddings-inference
Instructions to use Reynier/modernbert-dga-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reynier/modernbert-dga-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Reynier/modernbert-dga-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Reynier/modernbert-dga-detector") model = AutoModelForSequenceClassification.from_pretrained("Reynier/modernbert-dga-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload dga_loader.py with huggingface_hub
Verified signatured7e99db
-
Update README.md
Verified signature4704d21 -
Update Readme
Verified signatured716381 -
Initial ModernBERT DGA detector model upload
Verified signaturea160170 -
initial commit
Verified signature672c55e