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python-sentence-transformers

Embeddings, Retrieval, and Reranking

Current
5.4.1
Candidate
6.2.0
License
Apache-2.0

Build

TargetResultLast successful versionSucceeded at
rva23
5.4.1
rva20
5.4.1
x86_64
5.4.1

RuntimeDeps

DependencyObserved sourceCurrent requirementCandidate requirement
1.16.0
2.4.6
1.8.0
1.17.1
0.22.2
Not observed
2.13.0
4.67.3
5.12.1
4.16.0
3.14.9

Optional RuntimeDeps

DependencyObserved sourceCurrent requirementCandidate requirement
1.13.0
5.0.1
faiss-cpuUnmapped
—
Not observed
fastclusterUnmapped
—
Not observed
mergekitUnmapped
—
Not observed
optimum-intel[openvino]Unmapped
—
optimum-onnx[onnxruntime]Unmapped
—
optimum-onnx[onnxruntime-gpu]Unmapped
—
0.19.1
4.6.0
9.0.3
7.1.0
1.1.5
pytest-subtestsUnmapped
—
3.8.0
5.12.1
5.12.1
5.12.1
5.12.1
usearchUnmapped
—
Not observed
Dependency conditions

Advisory · 1

Query ecosystem
PyPIOSV
Query name
sentence-transformersOSV
Query version
5.4.1OSV

Provider matches do not establish RPM applicability. Local patches, bundled dependencies and binary artifacts are not evaluated.

Description

Sentence Transformers is a Python library for state-of-the-art sentence, text, and image embeddings. It can be used to compute embeddings for sentences and paragraphs, and to find semantically similar sentences using cosine similarity.

Changelog

PR · 4

Checks
MonitorObservationLast checked
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No reliable monitor identity/configuration.
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Metadata unavailable
Provider license expression is invalid SPDX metadata or exceeds the comparison budget.
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Current source component only; local patches, build options, bundled dependencies and binary artifacts are not evaluated.
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