Feature Extraction
Transformers
Safetensors
English
mpnet
cybersecurity
embeddings
classification
text-embeddings-inference
Instructions to use selfconstruct3d/mpnet-classification-finetuned-cyber-groups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selfconstruct3d/mpnet-classification-finetuned-cyber-groups with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="selfconstruct3d/mpnet-classification-finetuned-cyber-groups")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/mpnet-classification-finetuned-cyber-groups") model = AutoModel.from_pretrained("selfconstruct3d/mpnet-classification-finetuned-cyber-groups") - Notebooks
- Google Colab
- Kaggle
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- mpnet
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- embeddings
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- classification
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license: apache-2.0
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language:
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base_model:
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## Contact
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- **Author:** Dženan Hamzić
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- **Contact Information:** https://www.linkedin.com/in/dzenan-hamzic/
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- mpnet
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- embeddings
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- classification
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language:
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- en
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base_model:
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## Contact
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- **Author:** Dženan Hamzić
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- **Contact Information:** https://www.linkedin.com/in/dzenan-hamzic/
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## Licence
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This model is licensed for non-commercial use only (CC BY-NC 4.0).
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For commercial inquiries, please contact dzenan.hamzic@ait.ac.at.
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