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---
language: multilingual
widget:
- text: 🤗🤗🤗<mask>
- text: 🔥The goal of life is <mask> . 🔥
- text: Il segreto della vita è l’<mask> . ❤️
- text: Hasta <mask> 👋!
license: mit
---
# Twitter-XLM-Roberta-large
This is a XLM-T large language model specialised on Twitter.
The base model is a multilingual XLM-R which was re-trained on over 1 billion tweets from different languages until December 2022.
To evaluate this and other LMs on Twitter-specific data, please refer to the [XLM-T main repository](https://github.com/cardiffnlp/xlm-t).
A base-size XLM-T model and sample code is available [here](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base).
Finally, this model is fully compatible with the [TweetNLP library](https://github.com/cardiffnlp/tweetnlp).
### BibTeX entry and citation info
More information in the reference papers about [multilingual language models on Twitter](https://aclanthology.org/2022.lrec-1.27/) and [time-specific models](https://aclanthology.org/2022.acl-demo.25/).
Please cite the relevant reference papers if you use this model.
```bibtex
@inproceedings{barbieri-etal-2022-xlm,
title = "{XLM}-{T}: Multilingual Language Models in {T}witter for Sentiment Analysis and Beyond",
author = "Barbieri, Francesco and
Espinosa Anke, Luis and
Camacho-Collados, Jose",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.27",
pages = "258--266"
}
@inproceedings{loureiro-etal-2022-timelms,
title = "{T}ime{LM}s: Diachronic Language Models from {T}witter",
author = "Loureiro, Daniel and
Barbieri, Francesco and
Neves, Leonardo and
Espinosa Anke, Luis and
Camacho-collados, Jose",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.acl-demo.25",
doi = "10.18653/v1/2022.acl-demo.25",
pages = "251--260"
}
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