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
- Xet hash:
- 8373a36e769399f110a5a3fbf06a0ba4139e2e4d1d017d95d9560d429267d598
- Size of remote file:
- 4.6 kB
- SHA256:
- 66697b3d09de02b22dad8aba4248630654a0d1cf3050b18786f3ec53e0dd381d
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