from fastai.gen_doc.nbdoc import *
from fastai.text import * 


show_doc(language_model_learner)

jekyll_note("Using QRNN (change the flag in the config of the AWD LSTM) requires to have cuda installed (same version as pytorch is using).")

path = untar_data(URLs.IMDB_SAMPLE)
data = TextLMDataBunch.from_csv(path, 'texts.csv')
learn = language_model_learner(data, AWD_LSTM, drop_mult=0.5)

show_doc(text_classifier_learner)

path = untar_data(URLs.IMDB_SAMPLE)
data = TextClasDataBunch.from_csv(path, 'texts.csv')
learn = text_classifier_learner(data, AWD_LSTM, drop_mult=0.5)

show_doc(RNNLearner)

show_doc(RNNLearner.get_preds)

show_doc(RNNLearner.load_encoder)

show_doc(RNNLearner.save_encoder)

show_doc(RNNLearner.load_pretrained)

show_doc(convert_weights)

show_doc(LanguageLearner, title_level=3)

show_doc(LanguageLearner.predict)

show_doc(LanguageLearner.beam_search)

show_doc(get_language_model)

show_doc(get_text_classifier)