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granite-embedding-small-english-r2
feature-extraction model
Machine LearningModelsOpen Source
59votes
1,334,472stars
1,334,472points
About
Granite-embedding-small-english-r2 is a feature-extraction model designed to convert text into high-dimensional vectors, enabling efficient semantic analysis and retrieval. Ideal for developers, data scientists, and researchers working on NLP tasks, this tool enhances text processing capabilities in applications such as search engines, recommendation systems, and machine learning pipelines.
Technical Details
- Task Type
- feature-extraction
- Technical Level
- advanced
- Deployment Options
- apilibrary
Information
- Launched
- January 21, 2026
- Popularity Score
- 100.0
Tags
arxiv:2508.21085deploy:azureNLPlicense:apache-2.0text processingendpoints_compatibletransformersmodernbertmtebpytorchsafetensorsgranitesentence-transformersendata sciencetext embeddingmachine learningregion:usresearch toolsvector representationfeature-extractionAI modelsfeature extractionsemantic analysistext-embeddings-inferenceembeddings