I wasn’t able to find a list of legal parameters for ‘arch’ , or stated differently a list of available models in fastai, or list of available models in fastai.
I am especially interested in arch’s for text_classifier_learner I’m doing a binary classification problem for where the inputs are 8000 integers.
Note that that is only applicable to fastai v1. In v2 the Transformer and TransformerXL are not a thing anymore that can be used by text_learner. We just have an AWD-LSTM and QRNN
Thank you very much your your answers!
So I guess if I want to implement a transformer I will have to dive a a bit deeper down to the mid-levels and follow this guide https://docs.fast.ai/tutorial.transformers