Feature Extraction
sentence-transformers
Safetensors
English
bert
sparse-encoder
sparse
splade
Generated from Trainer
dataset_size:1000000
loss:SpladeLoss
loss:SparseMarginMSELoss
loss:FlopsLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use rasyosef/splade-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/splade-mini with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rasyosef/splade-mini") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Datasets: 4.0.0
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- Tokenizers: 0.21.2
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## Citation
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### BibTeX
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#### Sentence Transformers
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```bibtex
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@inproceedings{reimers-2019-sentence-bert,
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title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
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author = "Reimers, Nils and Gurevych, Iryna",
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
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month = "11",
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year = "2019",
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publisher = "Association for Computational Linguistics",
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url = "https://arxiv.org/abs/1908.10084",
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}
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```
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#### SpladeLoss
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```bibtex
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@misc{formal2022distillationhardnegativesampling,
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title={From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective},
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author={Thibault Formal and Carlos Lassance and Benjamin Piwowarski and Stéphane Clinchant},
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year={2022},
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eprint={2205.04733},
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archivePrefix={arXiv},
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primaryClass={cs.IR},
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url={https://arxiv.org/abs/2205.04733},
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}
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```
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#### SparseMarginMSELoss
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```bibtex
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@misc{hofstätter2021improving,
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title={Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation},
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author={Sebastian Hofstätter and Sophia Althammer and Michael Schröder and Mete Sertkan and Allan Hanbury},
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year={2021},
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eprint={2010.02666},
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archivePrefix={arXiv},
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primaryClass={cs.IR}
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}
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```
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#### FlopsLoss
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```bibtex
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@article{paria2020minimizing,
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title={Minimizing flops to learn efficient sparse representations},
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author={Paria, Biswajit and Yeh, Chih-Kuan and Yen, Ian EH and Xu, Ning and Ravikumar, Pradeep and P{'o}czos, Barnab{'a}s},
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journal={arXiv preprint arXiv:2004.05665},
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year={2020}
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}
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```
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<!--
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## Glossary
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</details>
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```bibtex
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@misc{alemneh2025splademini,
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author = {Yosef Worku Alemneh},
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- Datasets: 4.0.0
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- Tokenizers: 0.21.2
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<!--
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## Glossary
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-->
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</details>
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## Citation
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```bibtex
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@misc{alemneh2025splademini,
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author = {Yosef Worku Alemneh},
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