Instructions to use ehsanaghaei/SecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehsanaghaei/SecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ehsanaghaei/SecureBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ehsanaghaei/SecureBERT") model = AutoModelForMaskedLM.from_pretrained("ehsanaghaei/SecureBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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See details at [GitHub Repo](https://github.com/ehsanaghaei/SecureBERT/blob/main/README.md)
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** The paper has been accepted and presented in "EAI SecureComm 2022 - 18th EAI International Conference on Security and Privacy in Communication Networks".**
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See details at [GitHub Repo](https://github.com/ehsanaghaei/SecureBERT/blob/main/README.md)
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