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Ingest & Store

Feature Extractors

Typed pipelines for faces, scenes, transcripts, OCR, fingerprints.

Vector Store (MVS)

Mixpeek Vector Store: horizontally scaled, feature-aware indexes.

Retrieve & Analyze

Compose multi-stage search in <100ms:filter, join, rerank.

Group scenes, faces or objects by similarity with Thompson sampling.

Encode your domain as versioned ontologies enforced at query time.

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Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

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Face & Person Search

Find anyone across video libraries in milliseconds.

IP & Copyright Detection

Logos, songs, faces:one pipeline, one report.

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Scene-similarity ranked recommendations with RL.

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

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API reference, SDKs, recipes, and architecture guides.

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Fundamentals of multimodal retrieval, modules + certs.

Every term you need:embeddings to re-rankers.

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Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.

Mission, team, and the multimodal vision.

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Integrations Pricing

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Models/Fill Mask/FacebookAI/roberta-base

Fill Masktransformersmit

roberta-base

by FacebookAI

18.0Mdl/month

603likes

HuggingFace Use in Pipeline

Identifier

Model ID

FacebookAI/roberta-base

Tags

transformerspytorchtfjaxrustsafetensorsrobertafill-maskexbertendataset:bookcorpusdataset:wikipediaarxiv:1907.11692arxiv:1806.02847license:mitendpoints_compatibledeploy:azureregion:us

Use roberta-base on Mixpeek

Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

Specification

OrganizationFacebookAI

TaskFill Mask

Librarytransformers

Licensemit

Downloads/mo18.0M

Likes603

View on HuggingFace

See model card, files, and community discussion

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