lonePatient/bert-sentence-similarity-pytorch
This repo contains a PyTorch implementation of a pretrained BERT model for sentence similarity task.
This project offers a pre-trained BERT model implemented in PyTorch for tasks requiring sentence similarity. It takes pairs of sentences as input and determines how semantically alike they are. This is useful for developers who need to integrate natural language understanding capabilities into their applications.
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Use this if you are a developer looking for a PyTorch-based BERT model to assess the semantic similarity between sentences, especially for Chinese text.
Not ideal if you are a non-developer seeking a ready-to-use application or a low-code solution for text similarity, as this requires coding knowledge and environment setup.
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Python
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Last pushed
Feb 14, 2019
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