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README.md
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@@ -2646,4 +2646,8 @@ print("Cosine similiarity for embeddings calculated with ONNX:" + str(cos_sim(em
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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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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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*Note 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.
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