naver/efficient-splade-VI-BT-large-doc
feature-extraction model by naver
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Model card & documentation
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Efficient SPLADE model for passage retrieval. This architecture uses two distinct models for query and document inference. This is the doc one, please also download the query one (https://huggingface.co/naver/efficient-splade-VI-BT-large-query). For additional details, please visit: This is a Asymmetric SPLADE Sparse Encoder model. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and…
Read the full model card ↗ · Preview checked 2026-10-27T16:47:29.482Z
Inside the original model card — Document outline
- Efficient SPLADE
- Model Details
- Model Description
- Full Model Architecture
- Usage
- Direct Usage (Sentence Transformers)
- Citation
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Model overview
naver/efficient-splade-VI-BT-large-doc is a feature-extraction model repository published by naver on Hugging Face. The source reports the sentence-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
- sentence-transformers
- Recent downloads (30 days)
- 427,996
- Cumulative likes
- 23
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- DistilBertForMaskedLM
- License
- cc-by-nc-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-07-05T11:37:51.000Z
- Last modified
- 2025-06-30T15:27:17.000Z
Compatibility and lineage
Reported languages: 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 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.