sdadas/mmlw-retrieval-roberta-large

sentence-similarity model by sdadas

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MMLW-retrieval-roberta-large MMLW (muszę mieć lepszą wiadomość) are neural text encoders for Polish. This model is optimized for information retrieval tasks. It can transform queries and passages to 1024 dimensional vectors. The model was developed using a two-step procedure: ⚠️ 2023-12-26: We have updated the model to a new version with improved results. You can still download the previous version using the v1 tag: AutoModel.frompretrained("sdadas/mmlw-retrieval-roberta-large", revision="v1") ⚠️ ⚠️ Our dense retrievers require the use of specific prefixes and suffixes when encoding texts. For this model, each query…

sdadas/mmlw-retrieval-roberta-large on Hugging Face A short preview, not the full document.

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  1. Usage (Sentence-Transformers)
  2. Evaluation Results
  3. Acknowledgements
  4. Citation

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Model overview

sdadas/mmlw-retrieval-roberta-large is a sentence-similarity model repository published by sdadas on Hugging Face. The source reports the sentence-transformers library.

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Model facts

Task
sentence-similarity
Library
sentence-transformers
Recent downloads (30 days)
238,913
Cumulative likes
14
Hugging Face trending score
0
Reported safetensors parameters
434,961,408
Architecture
RobertaModel
License
apache-2.0
Access
Not gated by Hugging Face
Created
2023-10-18T19:09:42.000Z
Last modified
2026-09-22T15:08:47.000Z

Compatibility and lineage

Reported languages: pl

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.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.

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