Hi @altozachmo,
you can “extend” the labels list, adding as many labels as the number of token splits.
So, for example:
sequence = “Hugging Face"
labels = [(Hugging, B-org),(Face, I-org)]
tokenized_sentence = [[CLS], Hu, ##gging, Face, [SEP]]
tokenized_labels =  [(Hu, B-org),(##gging, B-org),(Face, I-org)]
(the tokenized_labels should include also the labels for the CLS and SEP tokens but I omitted them)
To do this, you can check this tutorial 47 and look for the “tokenize_and_preserve_labels” function