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--- |
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license: apache-2.0 |
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inference: false |
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base_model: papluca/xlm-roberta-base-language-detection |
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base_model_relation: quantized |
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tags: [green, p1, llmware-encoder, ov] |
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--- |
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# xlm-roberta-language-detector-ov |
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**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. |
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The classifier can be used to evaluate the language in a selected text passage or prompt. |
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### Model Description |
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- **Developed by:** papluca |
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- **Quantized by:** llmware |
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- **Model type:** xlm-roberta |
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- **Parameters:** 278 million |
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- **Model Parent:** papluca/xlm-roberta-base-language-detection |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Uses:** Language detection |
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- **RAG Benchmark Accuracy Score:** NA |
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- **Quantization:** int4 |
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## Model Card Contact |
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[llmware on github](https://www.github.com/llmware-ai/llmware) |
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[llmware on hf](https://www.huggingface.co/llmware) |
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[llmware website](https://www.llmware.ai) |
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