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
| [ | |
| "T1003.001", | |
| "T1005", | |
| "T1012", | |
| "T1016", | |
| "T1021.001", | |
| "T1027", | |
| "T1033", | |
| "T1036.005", | |
| "T1041", | |
| "T1047", | |
| "T1053.005", | |
| "T1055", | |
| "T1056.001", | |
| "T1057", | |
| "T1059.003", | |
| "T1068", | |
| "T1070.004", | |
| "T1071.001", | |
| "T1072", | |
| "T1074.001", | |
| "T1078", | |
| "T1082", | |
| "T1083", | |
| "T1090", | |
| "T1095", | |
| "T1105", | |
| "T1106", | |
| "T1110", | |
| "T1112", | |
| "T1113", | |
| "T1140", | |
| "T1190", | |
| "T1204.002", | |
| "T1210", | |
| "T1218.011", | |
| "T1219", | |
| "T1484.001", | |
| "T1518.001", | |
| "T1543.003", | |
| "T1547.001", | |
| "T1548.002", | |
| "T1552.001", | |
| "T1562.001", | |
| "T1564.001", | |
| "T1566.001", | |
| "T1569.002", | |
| "T1570", | |
| "T1573.001", | |
| "T1574.002" | |
| ] |