YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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Model Details
Model Description
Model to extract Relations from cyber threat intelligence(CTI) text.
This model needs a pre/postprocessing pipeline https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports
Standalone Model: Olec/cyber_rebel_no_pipe
Developed by: Leon Lukas
Model type: seq2seq
**Language(s) (NLP): English
**Finetuned from model : mrmoor/cti-t5-RE-NYT (T5 model trained on NYT RE)
Metrics test set
- precision: 0.37314814814814806
- recall: 0.4463734567901234,
- f1 : 0.4064894147513486
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