Thomas van Dongen

Sounds good! Happy to answer any questions about the library.

@koaning Either option (via Sentence Transformers or directly with Model2Vec) should be easy to integrate. I think using Model2Vec directly is slightly more flexible since you can call [encode](https://github.com/MinishLab/model2vec/blob/main/model2vec/model.py#L238) to...

Cool! Very curious about the results. I'll try to tune in for the livestream.

Great, thanks for the link, I'll check it out!

Heya @koaning, very cool! I created a channel in our discord server that we can use here: https://discord.gg/kvGKzc8t. Alternatively, my discord name is "pringled." (including the dot) so you can...

+1, it would be great to have the ability to pass a custom prompt here; the "genius expert" can have a big effect on the output style.

Hey @joein , great! I just had a look and sadly the ONNX models don't work out of the box since they do not have the same expected inputs from...

That would be great if that's possible! The inputs are input_ids and offsets (as the forward pass is simple an embeddingbag). These are the [forward pass](https://github.com/MinishLab/model2vec/blob/main/scripts/export_to_onnx.py#L38) and [tokenize](https://github.com/MinishLab/model2vec/blob/main/scripts/export_to_onnx.py#L53) functions for...