ai-forever/sbert_large_nlu_ru
feature-extraction model by ai-forever
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Model card & documentation
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Inside the original model card — Document outline
- BERT large model (uncased) for Sentence Embeddings in Russian language.
- Usage (HuggingFace Models Repository)
- Authors
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ai-forever/sbert_large_nlu_ru is a feature-extraction model repository published by ai-forever 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)
- 108,747
- Cumulative likes
- 104
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 426,908,672
- Architecture
- BertModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2025-04-18T15:42:42.000Z
Compatibility and lineage
Reported languages: ru
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 2026-09-23T06:38:24.944Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.