141dl/month
3likes
Identifier
Model ID
alexandrainst/scandi-nli-large-v2Tags
safetensorsrobertazero-shot-classificationdanonbsvdataset:strombergnlp/danfeverdataset:KBLab/overlimdataset:MoritzLaurer/multilingual-NLI-26lang-2mil7base_model:AI-Sweden-Models/roberta-large-1160kbase_model:finetune:AI-Sweden-Models/roberta-large-1160klicense:apache-2.0region:us
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Open StudioHow It Runs on Mixpeek
On Mixpeek, scandi-nli-large-v2 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
Organizationalexandrainst
TaskZero Shot Classification
Licenseapache-2.0
Downloads/mo141
Likes3
View on HuggingFace
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