Probably a little pitfall:
Hello, I believe there is a little pitfall in the instruction of “Behind the pipeline”, looks as the following:
Negative score should be “0.11%”, instead of “0.,11%”. This might cause some confusing.
"The problem is that we sent a single sequence to the model, whereas 
Transformers models expect multiple sentences by default. " - this does not seem to be a problem with Tensorflow code. Tensorflow accepts single sequence also without need for batch dimension unlike PyTorch which requires the sequence to be given with additional batch dimension
same here!
in fact without adding special tokens , I’ve got better results outputted from SoftMax function.