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Sem-RemmmBERT
robvanderg/Sem-RemmmBERT
Sem-RemmmBERT is a feature extraction model from robvanderg. Use it when you need embeddings to search or compare text. It is set up for transformers.
This is the SemEval MaChAmp Multitask Multilingual BERT model. This model is retrained from remBERT (https://huggingface.co/google/rembertased).
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- rembert
- Access
- Public
- Created
- Mar 28, 2022
- Updated
- Mar 28, 2022
- SHA
- 3aaf8a83
Model card
From the Hugging Face model README
Sem-RemmmBERT
This is the SemEval MaChAmp Multitask Multilingual BERT model. This model is retrained from remBERT (https://huggingface.co/google/rembertased).
The retraining is done based on all SemEval 2022 tasks that are text based, and have annotation on the word, sentence or paragraph level. The retraining is done with MaChAmp (https://machamp-nlp.github.io/), a toolkit focusing on multi-task learning for NLP. More information can be found in the paper (which should be released when the SemEval proceedings are online).
- Task
- Feature Extraction
- Library
- transformers
- Type
- rembert
- Languages
- multilingual
- Created
- Mar 28, 2022
- Updated
- Mar 28, 2022