在使用SentenceTransformer库中的encode_multi_process()函数时,用户可以指定batch_size和chunk_size这两个参数。其参数说明如下: - sentence:要嵌入的句子。 - batch_size:用于计算的批大小。 - show_progress_bar:对句子进行编码时输出进度条。 - output_value:默认sentence_embedding,用于获取句子嵌入。可以设置为to...
format(i) for i in range(100000)] embeddings = model.encode_multi_process(sentences, pool) # 停止多进程池 model.stop_multi_process_pool(pool) 4. 测试加速后的sentencetransformer性能 在应用加速技术后,需要对模型进行性能测试,以验证加速效果。可以使用以下指标进行评估:...
Multi-threading does in most cases not make sense in Python (due to global interpreter lock). It is better to design a multi-process architecture in Python If you still stick to multi-threading, ensure that each thread has its own SentenceTransformer object. Sharing the object between threads ...
We then proceeded to encode FQ1 and FQ2 using the four models and computed the cosine similarity of these two queries with the whole corpus of 6110 abstracts. Figure 5 reports the distribution of the similarity score for (A) FQ1 and (B) FQ2 vs. the whole corpus, using the all-MiniLM...
NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, ...
NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, ...