11dl/month
Identifier
Model ID
d2i-pti-iu/test_svc_modelTags
transformersjoblibSVCtabular-classificationdataset:scikit-learn/irisendpoints_compatibleregion:us
Use test_svc_model 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, test_svc_model runs as a managed extractor inside a processing pipeline. Point a bucket of tabular classification 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
Organizationd2i-pti-iu
TaskTabular Classification
Librarytransformers
Downloads/mo11
View on HuggingFace
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