from onnxruntime import InferenceSession, SessionOptions
from onnxruntime_customops import get_library_path

opt = rt.SessionOptions()
opt.register_custom_ops_library(get_library_path())

sess = rt.InferenceSession("universal-sentence-encoder-5.onnx", opt, providers=ONNX_PROVIDERS)

sess.run(
    output_names=["outputs"],
    input_feed={"inputs:0": [span]},
)[0]