I’ve some tabular data with several categorical variables. Each of these is embedded into space with different dimensions. For one of the categorical variables, I’d like to use a set of pretrained embeddings and keep them frozen during all the training. Is it possible to do so using the fastai library?
I have the same issue. Trying to use a tabular learner to learn a categorical embedding based on something similiar to word2vec, but then I want to reuse this embedding in another model for transfer learning- there’s no easy (or even hard) way to do it as I can see without creating a whole mess of utility code. Isn’t this something fastai should support?
Please see the discussion here if you’d like to help with this Tabular Transfer Learning and/or retraining with fastai
Thanks - I just added a big post there of what I’ve done so far and my remaining issue. Hopefully we can figure this out together.