Sentence Transformers
ML Library
Overview
Developed byNils Reimers
Maintained byUKP Lab
Founded2019
LicenseApache 2.0
Open source✓ Open Source
Primary languagePython
Use casesentence and text embeddings generation
Technical
API compatible
Integrates with
Also see
Based onPyTorch
Knowledge graph stats
Claims32
Avg confidence95%
Avg freshness99%
Last updatedUpdated 5 days ago
WikidataQ120634773
Trust distribution
100% unverified
Governance
Not assessed
Sentence Transformers
product
Python library for generating sentence embeddings commonly used with vector databases.
Compare with...open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
programming language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| free | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| sentence and text embeddings generation | ○Unverified | High | Fresh | 1 |
| generating sentence embeddings | ○Unverified | High | Fresh | 1 |
| sentence and text embeddings | ○Unverified | High | Fresh | 1 |
| generating sentence and text embeddings | ○Unverified | High | Fresh | 1 |
| semantic text similarity and sentence embeddings | ○Unverified | High | Fresh | 1 |
| generating semantic embeddings for sentences and text | ○Unverified | High | Fresh | 1 |
| text embedding generation | ○Unverified | High | Fresh | 1 |
| semantic similarity tasks | ○Unverified | High | Fresh | 1 |
| semantic similarity | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Apache 2.0 | ○Unverified | High | Fresh | 1 |
| Apache License 2.0 | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| BERT | ○Unverified | High | Fresh | 1 |
| RoBERTa | ○Unverified | High | Fresh | 1 |
| DistilBERT | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Nils Reimers | ○Unverified | High | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| PyTorch | ○Unverified | High | Fresh | 1 |
| Transformers library | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Hugging Face Transformers | ○Unverified | High | Fresh | 1 |
| Hugging Face Hub | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| UKP Lab | ○Unverified | High | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2019 | ○Unverified | High | Fresh | 1 |
api compatible with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| scikit-learn | ○Unverified | Moderate | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Universal Sentence Encoder | ○Unverified | Moderate | Fresh | 1 |
| OpenAI embeddings API | ○Unverified | Moderate | Fresh | 1 |
| OpenAI embeddings | ○Unverified | Moderate | Fresh | 1 |