我有使用预训练的 bert 模型构建的语义搜索引擎的代码。我想将此模型转换为 tflite，以便将其部署到 google mlkit。我想知道如何转换它。我想知道是否有可能将其转换为 tflite。这可能是因为它在官方tensorflow网站上提到： https: //www.tensorflow.org/lite/convert。但我不知道从哪里开始
代码：
from sentence_transformers import SentenceTransformer
# Load the BERT model. Various models trained on Natural Language Inference (NLI) https://github.com/UKPLab/sentence-transformers/blob/master/docs/pretrained-models/nli-models.md and
# Semantic Textual Similarity are available https://github.com/UKPLab/sentence-transformers/blob/master/docs/pretrained-models/sts-models.md
model = SentenceTransformer('bert-base-nli-mean-tokens')
# A corpus is a list with documents split by sentences.
sentences = ['Absence of sanity',
'Lack of saneness',
'A man is eating food.',
'A man is eating a piece of bread.',
'The girl is carrying a baby.',
'A man …