Text Classification
Transformers
Safetensors
English
modernbert
cyber-threat-intelligence
mitre-attack
multi-label-classification
defensive-security
blue-team
synthetic-data-augmentation
text-embeddings-inference
Instructions to use ctokx/cti-attack-mapper-modernbert-synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctokx/cti-attack-mapper-modernbert-synth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctokx/cti-attack-mapper-modernbert-synth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctokx/cti-attack-mapper-modernbert-synth") model = AutoModelForSequenceClassification.from_pretrained("ctokx/cti-attack-mapper-modernbert-synth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,089 Bytes
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