Fill-Mask
Transformers
PyTorch
Safetensors
Icelandic
English
multilingual
xlm-roberta
icelandic
xlmr
Instructions to use vesteinn/XLMR-ENIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/XLMR-ENIS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vesteinn/XLMR-ENIS")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vesteinn/XLMR-ENIS") model = AutoModelForMaskedLM.from_pretrained("vesteinn/XLMR-ENIS") - Notebooks
- Google Colab
- Kaggle
XLMR-ENIS
This is a XLMR model trained on Icelandic and English text.
If you find this model useful please cite
@inproceedings{snaebjarnarson-einarsson-2022-cross,
title = "Cross-Lingual {QA} as a Stepping Stone for Monolingual Open {QA} in {I}celandic",
author = "Sn{\ae}bjarnarson, V{\'e}steinn and
Einarsson, Hafsteinn",
booktitle = "Proceedings of the Workshop on Multilingual Information Access (MIA)",
month = jul,
year = "2022",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.mia-1.4",
doi = "10.18653/v1/2022.mia-1.4",
pages = "29--36",
}
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