Fill-Mask
Transformers
PyTorch
Safetensors
English
roberta
exbert
security
cybersecurity
cyber security
threat hunting
threat intelligence
Instructions to use jackaduma/SecRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackaduma/SecRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jackaduma/SecRoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jackaduma/SecRoBERTa") model = AutoModelForMaskedLM.from_pretrained("jackaduma/SecRoBERTa") - Inference
- Notebooks
- Google Colab
- Kaggle
Kun Ma commited on
Commit ·
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Parent(s): b921928
update README
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README.md
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tags:
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- exbert
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- security
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- cyber security
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license: apache-2.0
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datasets:
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- APTnotes
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tags:
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- exbert
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- security
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- cybersecurity
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- cyber security
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- threat hunting
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- threat intelligence
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license: apache-2.0
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datasets:
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- APTnotes
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