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README.md
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type: Retrieval
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tags:
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- mteb
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- sentence-transformers
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- transformers
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- multilingual
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- sentence-similarity
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- onnx
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- teradata
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---
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# A Teradata Vantage compatible Embeddings Model
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print("Cosine similiarity for embeddings calculated with SentenceTransformer:" + str(cos_sim(embeddings_1_sentence_transformer, embeddings_2_sentence_transformer)))
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```
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You can find the detailed ONNX vs. SentenceTransformer result comparison steps in the file [test_local.py](./test_local.py)
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type: Retrieval
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tags:
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- mteb
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- multilingual
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- sentence-similarity
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- onnx
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- teradata
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---
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# A Teradata Vantage compatible Embeddings Model
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print("Cosine similiarity for embeddings calculated with SentenceTransformer:" + str(cos_sim(embeddings_1_sentence_transformer, embeddings_2_sentence_transformer)))
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```
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You can find the detailed ONNX vs. SentenceTransformer result comparison steps in the file [test_local.py](./test_local.py)
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