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  Useful HF resources and contributors for Dutch NLP are
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- Individuals
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  * [Pieter Delobelle](https://huggingface.co/pdelobelle), [homepage](https://pieter.ai/) and [git](https://github.com/ipieter)
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  * [Bram van Roy](https://huggingface.co/BramVanroy) and [homepage](https://bramvanroy.github.io/)
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  * [Robin Smits](https://huggingface.co/robinsmits) and [git](https://github.com/robinsmits)
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  * [François Remy](https://huggingface.co/FremyCompany), [homepage](http://fremycompany.com) and [git](https://github.com/FremyCompany)
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  * [Maarten Grootendorst](https://huggingface.co/MaartenGr), [homepage](https://www.maartengrootendorst.com/) and [git](https://github.com/MaartenGr)
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- Organisations
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  * [University Medical Center Utrecht](https://github.com/umcu)
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  * [NLPtown](https://huggingface.co/nlptown) and [homepage](http://nlp.town/)
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  * [doc2query](https://huggingface.co/doc2query)
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  * [Nederlands Forensic Institute](https://huggingface.co/NetherlandsForensicInstitute), [homepage](https://forensicinstitute.nl/) and [git](https://github.com/NetherlandsForensicInstitute)
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  * [Integraal Kanker centrum Nederland (iKNL)](https://github.com/iknl)
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- NLP Libraries relevant for (Dutch) clinical NLP:
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  * [Clinlp](https://github.com/umcu/clinlp)
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- Encoder models
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  * [RobBERT v2](https://huggingface.co/pdelobelle/robbert-v2-dutch-base)
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  * [BERTje](https://huggingface.co/GroNLP/bert-base-dutch-cased)
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  * [BelabBERT](https://huggingface.co/jwouts/belabBERT_115k)
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- Decoder models
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  * [GPT-2 on mC4](https://huggingface.co/yhavinga/gpt2-large-dutch), [GPT-2 finetuned on ](https://huggingface.co/GroNLP/gpt2-medium-dutch-embeddings)
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  * [GPT-neo on mC4](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch)
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  * [GEITje (based on Mistral)](https://github.com/Rijgersberg/GEITje)
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- NTMs
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  * [NLLB200](https://huggingface.co/facebook/nllb-200-3.3B)
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  * [UL2, en-nl](https://huggingface.co/yhavinga/ul2-large-en-nl), [UL2, nl-en](https://huggingface.co/yhavinga/ul2-large-dutch-english)
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  * [OPUS MT, en-nl](https://huggingface.co/Helsinki-NLP/opus-mt-en-nl), [OPUS MT, nl-en](https://huggingface.co/Helsinki-NLP/opus-mt-nl-en), [OPUS MT Healthcare, nl-en](https://huggingface.co/FremyCompany/opus-mt-nl-en-healthcare)
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  * [Llama 2 MT, nl-en](https://huggingface.co/kaitchup/Llama-2-7b-mt-Dutch-to-English)
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- Still to add; sentence similarity and data sets.
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  * [SoNaR](https://taalmaterialen.ivdnt.org/download/tstc-sonar-corpus/)
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  * [COW](https://rolandschaefer.net/archives/142)
 
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  Useful HF resources and contributors for Dutch NLP are
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+ ## Individuals
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  * [Pieter Delobelle](https://huggingface.co/pdelobelle), [homepage](https://pieter.ai/) and [git](https://github.com/ipieter)
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  * [Bram van Roy](https://huggingface.co/BramVanroy) and [homepage](https://bramvanroy.github.io/)
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  * [Robin Smits](https://huggingface.co/robinsmits) and [git](https://github.com/robinsmits)
 
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  * [François Remy](https://huggingface.co/FremyCompany), [homepage](http://fremycompany.com) and [git](https://github.com/FremyCompany)
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  * [Maarten Grootendorst](https://huggingface.co/MaartenGr), [homepage](https://www.maartengrootendorst.com/) and [git](https://github.com/MaartenGr)
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+ ## Organisations
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  * [University Medical Center Utrecht](https://github.com/umcu)
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  * [NLPtown](https://huggingface.co/nlptown) and [homepage](http://nlp.town/)
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  * [doc2query](https://huggingface.co/doc2query)
 
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  * [Nederlands Forensic Institute](https://huggingface.co/NetherlandsForensicInstitute), [homepage](https://forensicinstitute.nl/) and [git](https://github.com/NetherlandsForensicInstitute)
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  * [Integraal Kanker centrum Nederland (iKNL)](https://github.com/iknl)
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+ ## NLP Libraries relevant for (Dutch) clinical NLP:
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  * [Clinlp](https://github.com/umcu/clinlp)
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+ ## Encoder models
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  * [RobBERT v2](https://huggingface.co/pdelobelle/robbert-v2-dutch-base)
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  * [BERTje](https://huggingface.co/GroNLP/bert-base-dutch-cased)
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  * [BelabBERT](https://huggingface.co/jwouts/belabBERT_115k)
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+ ## Decoder models
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  * [GPT-2 on mC4](https://huggingface.co/yhavinga/gpt2-large-dutch), [GPT-2 finetuned on ](https://huggingface.co/GroNLP/gpt2-medium-dutch-embeddings)
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  * [GPT-neo on mC4](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch)
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  * [GEITje (based on Mistral)](https://github.com/Rijgersberg/GEITje)
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+ ## NTMs
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  * [NLLB200](https://huggingface.co/facebook/nllb-200-3.3B)
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  * [UL2, en-nl](https://huggingface.co/yhavinga/ul2-large-en-nl), [UL2, nl-en](https://huggingface.co/yhavinga/ul2-large-dutch-english)
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  * [OPUS MT, en-nl](https://huggingface.co/Helsinki-NLP/opus-mt-en-nl), [OPUS MT, nl-en](https://huggingface.co/Helsinki-NLP/opus-mt-nl-en), [OPUS MT Healthcare, nl-en](https://huggingface.co/FremyCompany/opus-mt-nl-en-healthcare)
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  * [Llama 2 MT, nl-en](https://huggingface.co/kaitchup/Llama-2-7b-mt-Dutch-to-English)
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+ ## Datasets
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  * [SoNaR](https://taalmaterialen.ivdnt.org/download/tstc-sonar-corpus/)
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  * [COW](https://rolandschaefer.net/archives/142)