cointegrated/LaBSE-en-ru
feature-extraction model by cointegrated
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Model card & documentation
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This is a truncated version of sentence-transformers/LaBSE, which is, in turn, a port of LaBSE by Google. The current model has only English and Russian tokens left in the vocabulary. Thus, the vocabulary is 10% of the original, and number of parameters in the whole model is 27% of the original, without any loss in the quality of English and Russian embeddings. To get the sentence…
Read the full model card ↗ · Preview checked 2026-11-01T07:12:32.297Z
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Model overview
cointegrated/LaBSE-en-ru is a feature-extraction model repository published by cointegrated on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 107,913
- Cumulative likes
- 60
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 128,994,349
- Architecture
- BertForPreTraining
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2024-03-28T13:59:30.000Z
Compatibility and lineage
Reported languages: ru, en
Base-model lineage was not included.
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 2026-09-25T06:38:38.450Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.