Fill-Mask
Transformers
PyTorch
Safetensors
bert
cyber sécurité
cybersécurité
sécurité informatique
exbert
security
cybersecurity
cyber security
threat hunting
threat intelligence
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("MisterAI/AIForceTWO")
model = AutoModelForMaskedLM.from_pretrained("MisterAI/AIForceTWO", device_map="auto")Quick Links
AIForceTWO
Ce modèle est basé sur SecBERT https://huggingface.co/jackaduma/SecBERT
C'est un modèle pré entrainé pour la Cyber Sécurité
Le corpus d'entraînement provient des sources suivantes :
- APTnotes
- Stucco-Data: Cyber security data sources
- CASIE: Extracting Cybersecurity Event Information from Text
- SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP).
The original repo can be found here.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MisterAI/AIForceTWO")