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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Reynier/modernbert-dga-detector") model = AutoModelForSequenceClassification.from_pretrained("Reynier/modernbert-dga-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1106e1cacb1ab59e28eaeae3350db4efd52652c94dea8e4334504c2eb54e17f3
- Size of remote file:
- 598 MB
- SHA256:
- f05d326aa3575bd1a2f21512be64f00b423693548dec12a187cadeb59ece3913
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