Unbabel/wmt22-comet-da
translation model by Unbabel
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Model card & documentation
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This is a COMET evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference. COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task (Rei et al., WMT 2022) Apache-2.0 Using this model requires unbabel-comet to be installed: Then you can use it through comet CLI: Or using Python: Our model is intented to be used for MT evaluation. Given a a triplet with (source sentence, translation, reference translation) outputs a single score between 0 and 1 where 1 represents a perfect translation. This model builds on top of XLM-R which cover the following languages: Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali Romanized, Bosnian, Breton, Bulgarian, Burmese, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Croatian, Czech, Danish, Dutch,…
Read the full model card ↗ · Preview checked 2026-10-28T13:50:57.478Z
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Unbabel/wmt22-comet-da is a translation model repository published by Unbabel on Hugging Face. The source reports the comet library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- comet
- Recent downloads (30 days)
- 7,160
- Cumulative likes
- 62
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-02-10T17:23:36.000Z
- Last modified
- 2025-02-26T17:13:20.000Z
Compatibility and lineage
Reported languages: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja
Reported base models: FacebookAI/xlm-roberta-large
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.