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@@ -14,39 +14,27 @@ datasets:
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  pipeline: fill-mask
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  widget:
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  - text: The capital of Iceland is<mask> .
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- - text: H�fu�borg �slands er<mask> .
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  ---
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  # XLMR-ENIS
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- ## Model description
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-
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  This is a XLMR model trained on Icelandic and English text.
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- ## Intended uses & limitations
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-
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- This model is part of my MSc thesis about Q&A for Icelandic.
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-
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- #### How to use
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-
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- ```python
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- from transformers import AutoTokenizer, AutoModelForMaskedLM
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-
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- tokenizer = AutoTokenizer.from_pretrained("vesteinn/XLMR-ENIS")
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-
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- model = AutoModelForMaskedLM.from_pretrained("vesteinn/XLMR-ENIS")
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- ```
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-
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- #### Limitations and bias
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-
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- ## Training data
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-
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- ## Training procedure
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-
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- ## Eval results
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-
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- ### BibTeX entry and citation info
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  ```bibtex
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  pipeline: fill-mask
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  widget:
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  - text: The capital of Iceland is<mask> .
 
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  ---
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  # XLMR-ENIS
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  This is a XLMR model trained on Icelandic and English text.
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+ If you find this model useful please cite
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bibtex
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+ @inproceedings{snaebjarnarson-einarsson-2022-cross,
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+ title = "Cross-Lingual {QA} as a Stepping Stone for Monolingual Open {QA} in {I}celandic",
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+ author = "Sn{\ae}bjarnarson, V{\'e}steinn and
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+ Einarsson, Hafsteinn",
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+ booktitle = "Proceedings of the Workshop on Multilingual Information Access (MIA)",
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+ month = jul,
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+ year = "2022",
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+ address = "Seattle, USA",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2022.mia-1.4",
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+ doi = "10.18653/v1/2022.mia-1.4",
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+ pages = "29--36",
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+ }
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  ```
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