ONNXEmbeddings compatible Models
A set of models that have been curated and tested to work with the in-DB function ONNXEmbeddings
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Teradata/bge-large-en-v1.5
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Teradata/bge-m3
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Teradata/distiluse-base-multilingual-cased-v1
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Teradata/gte-base-en-v1.5
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Teradata/multilingual-e5-small
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Teradata/jina-embeddings-v2-small-en
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Teradata/jina-embeddings-v2-base-en
Feature Extraction • Updated • 107Note DISCLAIMER: The content (“Content”) is provided “AS IS” and is not covered by any Teradata agreements. Teradata has no control over the Content and its listing does not constitute certification or endorsement. You must determine its suitability. The probabilistic nature of machine learning may result in incorrect output, so please evaluate accuracy. Teradata disclaims all warranties and is not liable for any damages arising from use of the Content.
Teradata/gte-multilingual-base
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Teradata/snowflake-arctic-embed-l-v2.0
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Teradata/multilingual-e5-base
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Teradata/multilingual-e5-large
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Teradata/gte-large-en-v1.5
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Teradata/bge-small-en-v1.5
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Teradata/snowflake-arctic-embed-m-v2.0
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Teradata/granite-embedding-107m-multilingual
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Teradata/granite-embedding-125m-english
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Teradata/granite-embedding-278m-multilingual
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Teradata/granite-embedding-30m-english
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Teradata/granite-embedding-311m-multilingual-r2
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Teradata/granite-embedding-97m-multilingual-r2
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Teradata/granite-embedding-english-r2
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Teradata/granite-embedding-small-english-r2
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Teradata/harrier-oss-v1-0.6b
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Teradata/harrier-oss-v1-270m
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Teradata/qwen3-embedding-0.6b
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Teradata/embeddinggemma-300m
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Teradata/nomic-embed-text-v1.5
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