Hi Bram. Many thanks for pointing to the repo. I already learned yesterday about sentiment-analysis being an “alias” to the text-analysis pipeline. I am interested in the same question as the original poster was. Finding out what the default models for the various tasks I can use with the pipeline library. If you use CTRL-SPACE in VSCode to get autocompletion for the pipeline item, you get about 30 different options you can use with the pipeline. Things like “audio-classification”, “depht-estimation”, “image-to-text”, visual question.-answering and many more. I added screenshots about all the options I get from this. I tried to find them in the transformers/pipeline.py file but I missed. Where could I find the corresponding default models used for these tasks? Not truly urgent but I am building a GUI for handling pipeline tasks and I would like to download the correct models upfront for offline use. Many thanks for any hints.
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