Universal Sentence Encoder (USE) is a pre-trained model that generates sentence-level embeddings by considering the semantic meaning of the sentence. It is trained on a large corpus of varied text data.
Universal Sentence Encoder (USE) is a pre-trained model that generates sentence-level embeddings by considering the semantic meaning of the sentence. It is trained on a large corpus of varied text data.