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.
[email protected] low health (41/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/pypi/msclapLast updated · 2025-05-23T08:00:15.608289Z