30dl/month
Identifier
Model ID
labrat-aiko/nli-popia-v1Tags
transformersonnxsafetensorsrobertatext-classificationnlizero-shot-classificationcompliancepopiasouth-africaprivacylegalquantizedcpuendataset:labrat-aiko/popia-compliance-nlibase_model:cross-encoder/nli-MiniLM2-L6-H768base_model:quantized:cross-encoder/nli-MiniLM2-L6-H768license:apache-2.0endpoints_compatibleregion:us
Use nli-popia-v1 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, nli-popia-v1 runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot 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
Organizationlabrat-aiko
TaskZero Shot Classification
Librarytransformers
Licenseapache-2.0
Downloads/mo30
View on HuggingFace
See model card, files, and community discussion
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