{MODEL NAME} This is a LinkTransformer model. At its core this model this is a sentence transformer model sentence transformers model it just wraps around the class. It is designed for quick and easy record linkage (entity matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more. Notwithstanding that, it can be used for any sentence similarity task within the sentence transformers framework as well. It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Take a look at the documentation of sentence transformers if you want to use this model for more than what we support in our applications. This model has been fine tuned on the model : multi qa mpnet base dot v1. It is pretrained for the language : en. This model was trained on a dataset consisting of company aliases from wiki data using the LinkTransformer framework. It was trained for 100 epochs using other defaults that can be found in the repo's LinkTransformer config file LT training config.json Usage (LinkTransformer) Using this model becomes easy when you have LinkTransformer installed…
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