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
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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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Teradata/ruri-v3-70m
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Teradata/ruri-v3-130m
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Teradata/ruri-v3-310m
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Teradata/ruri-v3-30m
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