universal-sentence-encoder

import tensorflow as tf
import tensorflow_hub as hub
# enabling the pretrained model for trainig our custom model using tensorflow hub
module_url = "https://tfhub.dev/google/universal-sentence-encoder-large/3"
embed = hub.Module(module_url)

# creating a method for embedding and will using method for every input layer 
def UniversalEmbedding(x):
    return embed(tf.squeeze(tf.cast(x, tf.string)), signature="default", as_dict=True)["default"]