
A  domain detection model for the MTee machine translation platform. The platform was developed in 2021 as a collaboration between the [TartuNLP](https://tartunlp.ai), the NLP research group at the University of Tartu, and [Tilde](https://tilde.com). More information about the project can be found [here](https://github.com/Project-MTee/mtee-platform/wiki).


#### Model Description

The model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base). It classifies the input sentence into one of the following four domains: `general`, `crisis`, `legal`, `military`.
{"language": ["et", "en", "ru", "de"], "tags": ["text-classification"], "widget": [{"text": "T\u00e4na l\u00f5ppes Valgamaa \u00f5ppuse Siil aktiivne lahingutegevus, mille k\u00e4igus pidi t\u00e4ielikult formeeritud 2. jalav\u00e4ebrigaad kaitsma end vastase pealetungi eest."}]}
transformers pytorch safetensors xlm-roberta text-classification et en ru de autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #et #en #ru #de #autotrain_compatible #endpoints_compatible #region-us 


A  domain detection model for the MTee machine translation platform. The platform was developed in 2021 as a collaboration between the TartuNLP, the NLP research group at the University of Tartu, and Tilde. More information about the project can be found here.


#### Model Description

The model is a fine-tuned version of xlm-roberta-base. It classifies the input sentence into one of the following four domains: 'general', 'crisis', 'legal', 'military'.
#### Model Description

The model is a fine-tuned version of xlm-roberta-base. It classifies the input sentence into one of the following four domains: 'general', 'crisis', 'legal', 'military'.
TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #et #en #ru #de #autotrain_compatible #endpoints_compatible #region-us 
 #### Model Description

The model is a fine-tuned version of xlm-roberta-base. It classifies the input sentence into one of the following four domains: 'general', 'crisis', 'legal', 'military'.
passage: TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #et #en #ru #de #autotrain_compatible #endpoints_compatible #region-us 
#### Model Description

The model is a fine-tuned version of xlm-roberta-base. It classifies the input sentence into one of the following four domains: 'general', 'crisis', 'legal', 'military'.