Hi Lewtun,
thanks for answering so quickly and precise. I have labelled data. So, I am looking at the first option. Its clear to me that I cannot use the pipeline statement since the model does not satisfy my needs out of the box. I was just using it to a have reference to something concrete. I guess I am just confused by the number of different models supported and some let you specify num_labels and some will accept exactly one number (eg 5)…
…but I understand now that I can specify a different num_labels value for some models and this will result in:

removing the head used to pretrain the model on a masked language modeling objective and
replacing it with a new head` as described in your linked tutorial 68 (Fine Tuning section).

So, to get me started with the MultiClass task where I have 1 label but 6 values (VeryPositiv, Positiv, No_Opinion, Mixed_Opinion, Negativ, VeryNegativ) - I could actually use, for example:

a model trained for a True/False sentiment,
specify num_labels=1 and train it with my labels containing 6 values
and that should work if my labels are sensible.

Did I get that right?
I guess, I’ll just get started with the MultiClass and see how I fare 
Thanks a lot for helping me, Dirk
PS.: I am working in a cloud environment without Internet. So, I had to resolve the question of how to download a model and use it locally, which I had a hard time finding in documentation. So, I constructed 2 notebooks 46 that show case:

How a model can be downloaded
How a local model can be used

I actually needed about 2 days to figure this out just because I was missing the git lfs part (and it generates an error message shown in the notebook) and the error message from the Transformers library did not see that the partially downloaded files where actually wrong  …and I probably made other silly mistakes too … So, I am thinking that others might have the same problem and it might be good to include something as specific as the 2 notebooks in your documentation to be more specific and clear on the what and how can be done with the Transformers   What do you think?