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CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference. The model has been extensively evaluated in 26 audio downstream tasks achieving SoTA in several of them including classification, retrieval, and captioning.
Declares an LLM dependency since 2023-10-12 (version 1.3.1).
Advisories that name msclap as affected. Advisory records do not state an ecosystem, so packages with the same name in other ecosystems also match. For a version-exact check of your own dependencies, use Stack Check.
No advisory in the database names this package.
As declared in PyPI metadata for version 1.3.4. Optional extras are listed with their extra name.
Among the packages in the registry; not every dependent on PyPI.