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BDI-batch: A Contrastive Adapted SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
This is a
sentence-transformers
model finetuned from
sentence-transformers/all-mpnet-base-v2
. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
Model Details
Please cite and refer for the paper for more details:
@inproceedings{pichel-2026-bdi-mpnet,
title = "BDI-batch: Leveraging Standardized Clinical Questionnaires for Contrastive Learning in Psychological Marker Retrieva",
author = "Fernández-Pichel, Marcos and Losada Carril, David E.",
booktitle = "To appear in: Findings of the Association for Computational Linguistics: EMNLP 2026,
publisher = "Association for Computational Linguistics",
}
Runs of citiusLTL bdi-mpnet-base on huggingface.co
530
Total runs
0
24-hour runs
12
3-day runs
12
7-day runs
12
30-day runs
More Information About bdi-mpnet-base huggingface.co Model
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citiusLTL bdi-mpnet-base online free url in huggingface.co:
bdi-mpnet-base is an open source model from GitHub that offers a free installation service, and any user can find bdi-mpnet-base on GitHub to install. At the same time, huggingface.co provides the effect of bdi-mpnet-base install, users can directly use bdi-mpnet-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.