---
license: apache-2.0
inference: false 
base_model: papluca/xlm-roberta-base-language-detection
base_model_relation: quantized 
tags: [green, p1, llmware-encoder, ov]
---

# xlm-roberta-language-detector-ov  

**xlm-roberta-language-detector-ov** is a toxicity classifier from [papluca/xlm-roberta-base-language-detection](https://www.huggingface.com/papluca/xlm-roberta-base-language-detection), packaged in OpenVino format. 

The classifier can be used to evaluate the language in a selected text passage or prompt.

### Model Description

- **Developed by:** papluca
- **Quantized by:** llmware
- **Model type:** xlm-roberta  
- **Parameters:** 278 million
- **Model Parent:** papluca/xlm-roberta-base-language-detection
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Language detection
- **RAG Benchmark Accuracy Score:** NA  
- **Quantization:** int4  
  

## Model Card Contact

[llmware on github](https://www.github.com/llmware-ai/llmware)  

[llmware on hf](https://www.huggingface.co/llmware)  

[llmware website](https://www.llmware.ai)