Text Classification
Transformers
Safetensors
English
modernbert
cyber-threat-intelligence
mitre-attack
multi-label-classification
defensive-security
blue-team
threat-intelligence
text-embeddings-inference
Instructions to use ctokx/cti-attack-mapper-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctokx/cti-attack-mapper-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctokx/cti-attack-mapper-modernbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctokx/cti-attack-mapper-modernbert") model = AutoModelForSequenceClassification.from_pretrained("ctokx/cti-attack-mapper-modernbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "global": 0.45, | |
| "per_class": { | |
| "T1003.001": 0.7, | |
| "T1005": 0.85, | |
| "T1012": 0.35, | |
| "T1016": 0.25, | |
| "T1021.001": 0.7, | |
| "T1027": 0.8, | |
| "T1033": 0.25, | |
| "T1036.005": 0.15, | |
| "T1041": 0.4, | |
| "T1047": 0.45, | |
| "T1053.005": 0.6, | |
| "T1055": 0.85, | |
| "T1056.001": 0.6, | |
| "T1057": 0.4, | |
| "T1059.003": 0.6, | |
| "T1068": 0.15, | |
| "T1070.004": 0.65, | |
| "T1071.001": 0.8, | |
| "T1072": 0.05, | |
| "T1074.001": 0.2, | |
| "T1078": 0.65, | |
| "T1082": 0.95, | |
| "T1083": 0.95, | |
| "T1090": 0.85, | |
| "T1095": 0.6, | |
| "T1105": 0.85, | |
| "T1106": 0.7, | |
| "T1110": 0.35, | |
| "T1112": 0.9, | |
| "T1113": 0.15, | |
| "T1140": 0.75, | |
| "T1190": 0.3, | |
| "T1204.002": 0.5, | |
| "T1210": 0.05, | |
| "T1218.011": 0.4, | |
| "T1219": 0.35, | |
| "T1484.001": 0.2, | |
| "T1518.001": 0.4, | |
| "T1543.003": 0.1, | |
| "T1547.001": 0.55, | |
| "T1548.002": 0.2, | |
| "T1552.001": 0.05, | |
| "T1562.001": 0.75, | |
| "T1564.001": 0.15, | |
| "T1566.001": 0.2, | |
| "T1569.002": 0.25, | |
| "T1570": 0.8, | |
| "T1573.001": 0.6, | |
| "T1574.002": 0.65 | |
| } | |
| } |