Instructions to use nanda-rani/TTPXHunter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nanda-rani/TTPXHunter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nanda-rani/TTPXHunter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nanda-rani/TTPXHunter") model = AutoModelForSequenceClassification.from_pretrained("nanda-rani/TTPXHunter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## How to Get Started with the Model
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Run the notebook named **TTPXHunter.ipynb** available at project GitHub [https://github.com/nanda-rani/TTPXHunter-Actionable-Threat-Intelligence-Extraction-as-TTPs-from-Finished-Cyber-Threat-Reports
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Run the notebook named **TTPXHunter.ipynb** available at project GitHub [link](https://github.com/nanda-rani/TTPXHunter-Actionable-Threat-Intelligence-Extraction-as-TTPs-from-Finished-Cyber-Threat-Reports)
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