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SBERT-base-nli-stsb-v2
Muennighoff/SBERT-base-nli-stsb-v2
SBERT-base-nli-stsb-v2 is a sentence similarity model from Muennighoff. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This model is used in "TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning".
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 31, 2021
- SHA
- 4d5713a1
Model card
From the Hugging Face model README
This model is used in "TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning".
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 31, 2021