Fill-Mask
Transformers
PyTorch
Safetensors
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@@ -20,8 +20,10 @@ In addition, we used a Switzerland-specific subword vocabulary.
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  The pre-training code and usage examples are available [here](https://github.com/ZurichNLP/swissbert). We also release a version that was fine-tuned on named entity recognition (NER): https://huggingface.co/ZurichNLP/swissbert-ner
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  ## Update 2024-01: Support for Swiss German
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- We added a Swiss German adapter to the model.
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  ## Languages
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  The pre-training code and usage examples are available [here](https://github.com/ZurichNLP/swissbert). We also release a version that was fine-tuned on named entity recognition (NER): https://huggingface.co/ZurichNLP/swissbert-ner
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+ The SwissBERT model is described in the following paper: https://aclanthology.org/2023.swisstext-1.6/ (Vamvas et al., SwissText 2023).
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  ## Update 2024-01: Support for Swiss German
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+ We added a Swiss German adapter to the model. More information in our [post](https://vamvas.ch/swiss-german-encoder) or in the [paper](https://arxiv.org/abs/2401.14400) (Vamvas et al., 2024).
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  ## Languages
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