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This model is designed to identify whether two product titles (including specifications) describe the same product. The model generates a score, where a score greater than 0.5 indicates that the products are likely the same. The threshold value can be used as needed. It is based on the BERT base uncased architecture and has been fine-tuned on a custom dataset derived from real-world examples. The model performs particularly well on longer sequences.
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## Model Details
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### Model Description
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This model is designed to identify whether two product titles (including specifications) describe the same product. The model generates a score, where a score greater than 0.5 indicates that the products are likely the same. The threshold value can be used as needed. It is based on the BERT base uncased architecture and has been fine-tuned on a custom dataset derived from real-world examples. The model performs particularly well on longer sequences.
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## Model Details
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### Model Description
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