Support multiple embedding models
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zmacks commented
The Universal Sentence Encoder model is a multipurpose sentence embeddings model for semantic similarity.
The aim is to provide a single encoder that can support as wide a variety of applications as possible, including paraphrase detection, relatedness, clustering and custom text classification.
I'd love to see the model swappable/configurable wherever embeddings are generated.