Fill-Mask
Transformers
PyTorch
xlm-roberta
Inference Endpoints
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@@ -103,6 +103,7 @@ The procedure is explained in greater detail in the dedicated [benchmarking repo
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  # Citation
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- (to be added soon)
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- # Authors
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- * [Nikola Ljubešič](https://huggingface.co/nljubesi)
 
 
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  # Citation
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+ The following paper has been submitted for review:
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+ Nikola Ljubešić, Vit Suchomel, Peter Rupnik, Taja Kuzman, Rik van Noord. Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining. 2024. Submitted.