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all-MiniLM-L6-v2-64dim
qxakshat/all-MiniLM-L6-v2-64dim
all-MiniLM-L6-v2-64dim is a sentence similarity model from qxakshat. 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 is a sentence-transformers model: It maps sentences & paragraphs to a 64 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 27, 2025
- Updated
- May 27, 2025
- SHA
- ea0617fd
Model card
From the Hugging Face model README
all-MiniLM-L6-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 64 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Model performance (Cosine-Similarity based, on the sts-test dataset):
- Original (384 dimensions): Pearson: 0.8274 Spearman: 0.8203
- 128 dimensions: Pearson: 0.8165 Spearman: 0.8180
- 64 dimensions: Pearson: 0.7855 Spearman: 0.7973
- 32 dimensions: Pearson: 0.7256 Spearman: 0.7481
created using: dimensionality_reduction
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- May 27, 2025
- Updated
- May 27, 2025