28dl/month
10likes
Identifier
Model ID
DAMO-NLP-SG/zero-shot-classify-SSTuning-XLM-RTags
transformerspytorchsafetensorsxlm-robertatext-classificationZero-Shot Classificationzero-shot-classificationmultilingualafamarasazbebgbnbrbscacscydadeeleneoeseteufa
Use zero-shot-classify-SSTuning-XLM-R 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, zero-shot-classify-SSTuning-XLM-R 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
OrganizationDAMO-NLP-SG
TaskZero Shot Classification
Librarytransformers
Licensemit
Downloads/mo28
Likes10
View on HuggingFace
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