36dl/month
Identifier
Model ID
Nicolassuez/mmbert-small-nli-onnx-q8Tags
transformers.jsonnxmodernberttext-classificationint8natural-language-inferencenlizero-shot-classificationmultilingualbase_model:BalaRajesh1/mmbert-small-nlibase_model:quantized:BalaRajesh1/mmbert-small-nlilicense:mitregion:us
Use mmbert-small-nli-onnx-q8 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, mmbert-small-nli-onnx-q8 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
OrganizationNicolassuez
TaskZero Shot Classification
Librarytransformers.js
Licensemit
Downloads/mo36
View on HuggingFace
See model card, files, and community discussion
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