Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
Cybersecurity
Cyber Security
Information Security
Computer Science
Cyber Threats
Vulnerabilities
Vulnerability
Malware
Attacks
Instructions to use markusbayer/CySecBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use markusbayer/CySecBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="markusbayer/CySecBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("markusbayer/CySecBERT") model = AutoModelForMaskedLM.from_pretrained("markusbayer/CySecBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e11245c3242705ef82c2bf818dbfbfd68f59de805ecc238d2a2e1af8147beae
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size 438085208
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