584dl/month
Identifier
Model ID
cadenzachallenge/ConvTasNet_Lyrics_CausalTags
transformerspytorchsafetensorshearing losschallengesignal processingsource separationlyrics intelligibilityaudioaudio-to-audioenlicense:apache-2.0endpoints_compatibleregion:us
Use ConvTasNet_Lyrics_Causal on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, ConvTasNet_Lyrics_Causal runs as a managed extractor inside a processing pipeline. Point a bucket of audio to audio data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationcadenzachallenge
TaskAudio To Audio
Librarytransformers
Licenseapache-2.0
Downloads/mo584
View on HuggingFace
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