Instructions to use Cyber-ThreaD/SecureBERT-AttackER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cyber-ThreaD/SecureBERT-AttackER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cyber-ThreaD/SecureBERT-AttackER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cyber-ThreaD/SecureBERT-AttackER") model = AutoModelForTokenClassification.from_pretrained("Cyber-ThreaD/SecureBERT-AttackER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
407337e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:54dbc352a92b7aedc19bf07ab796de02e755a77b802fad540649dcf5026c98b0
size 4664
|