Instructions to use Cyber-ThreaD/SecureBERT-APTNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cyber-ThreaD/SecureBERT-APTNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cyber-ThreaD/SecureBERT-APTNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cyber-ThreaD/SecureBERT-APTNER") model = AutoModelForTokenClassification.from_pretrained("Cyber-ThreaD/SecureBERT-APTNER") - Notebooks
- Google Colab
- Kaggle
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on the [APTNER](https://github.com/wangxuren/APTNER) dataset.
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It achieves the following results on the evaluation set:
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# anonymouspd/SecureBERT-APTNER
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This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on the [APTNER](https://github.com/wangxuren/APTNER) dataset.
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It achieves the following results on the evaluation set:
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