Examples¶
Rich examples are included to demonstrate the use of Texar. The implementations of cutting-edge models/algorithms also provide references for reproducibility and comparisons.
More examples are continuously added…
Examples by Models/Algorithms¶
RNN / Seq2seq¶
seq2seq_attn: Attentional seq2seq
Transformer (Self-attention)¶
transformer: Transformer for machine translation
bert: Pre-trained BERT model for text representation
gpt-2: Pre-trained OpenAI GPT-2 language model
xlnet: Pre-trained XLNet model for text representation
vae_text: VAE with a transformer decoder for improved language modeling
Variational Autoencoder (VAE)¶
vae_text: VAE language model
Classifier / Sequence Prediction¶
bert: Pre-trained BERT model for text representation
sentence_classifier: Basic CNN-based sentence classifier
xlnet: Pre-trained XLNet model for text representation
Examples by Tasks¶
Language Modeling¶
Machine Translation¶
seq2seq_attn: Attentional seq2seq
transformer: Transformer for machine translation
Classification¶
bert: Pre-trained BERT model for text representation
sentence_classifier: Basic CNN-based sentence classifier
xlnet: Pre-trained XLNet model for text representation