1Kdl/month
5likes
Identifier
Model ID
dleemiller/finecat-nli-lTags
sentence-transformerssafetensorsmodernbertcross-encoderrerankergenerated_from_trainerdataset_size:1024986loss:CrossEntropyLossmnlisnlianlizero-shot-classificationendataset:dleemiller/FineCat-NLIbase_model:answerdotai/ModernBERT-largebase_model:finetune:answerdotai/ModernBERT-largemodel-indexregion:us
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Open StudioHow It Runs on Mixpeek
On Mixpeek, finecat-nli-l 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
Organizationdleemiller
TaskZero Shot Classification
Librarysentence-transformers
Downloads/mo1K
Likes5
View on HuggingFace
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