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EuroBERT is a family of multilingual encoder models designed for a variety of tasks such as retrieval, classification and regression supporting 15 languages, mathematics and code, supporting sequences of up to 8,192 tokens. EuroBERT models exhibit the strongest multilingual performance across domains and tasks compared to similarly sized systems. **🏎️ If your GPU supports it, we recommend using EuroBERT with Flash Attention 2 to achieve the highest efficiency. To do so, install Flash Attention 2 as follows, then use the model as normal:** We evaluate EuroBERT on a suite of tasks to cover various real-world use cases for multilingual encoders, including retrieval performance, classification, sequence regression, quality estimation, summary evaluation, code-related tasks, and mathematical tasks.

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EuroBERT is a family of multilingual encoder models designed for a variety of tasks such as retrieval, classification and regression supporting 15 languages, mathematics and code, supporting sequences of up to 8,192 tokens. EuroBERT models exhibit the strongest multilingual performance across domains and tasks compared to similarly sized systems. **🏎️ If your GPU supports it, we recommend using EuroBERT with Flash Attention 2 to achieve the highest efficiency. To do so, install Flash Attention 2 as follows, then use the model as normal:** We evaluate EuroBERT on a suite of tasks to cover various real-world use cases for multilingual encoders, including retrieval performance, classification, sequence regression, quality estimation, summary evaluation, code-related tasks, and mathematical tasks.

Fill-mask
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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1 M = 1 million tokens · USD
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How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

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