Open hailiang-bai opened 3 years ago
Yes
To convert logs into sentence vectors, use the average_word_embeddings_glove.6B.300d model or the paraphrase-MiniLM-L12-v2 model?
the paraphrase model is better but slower
The model of sentence transformation semantic vectors can generate semantic vectors of sentences in a flow manner, for example, one sentence is used to generate one sentence vector. If so, is there a difference between the semantic vectors generated by it and the semantic vectors generated by putting in many sentences at once?
Also, I want to change the dimension of the output sentence vector, which parameter needs to be changed?
Thank you very much for your reply
Hello, if I just want to convert sentences into sentence vectors, can I just use the "'paraphrase-MiniLM-L12-v2" model to encode them directly?