OpenNMT-tf Logo
2.32

Getting started

  • Quickstart
  • Installation

Configuration

  • Model
  • Parameters
  • Data
  • Vocabulary
  • Tokenization
  • Embeddings
  • Alignments

Usage

  • Training
  • Inference
  • Serving
  • 2.0 Transition Guide
  • Frequently Asked Questions

API

  • Python
OpenNMT-tf
  • »
  • Overview: module code

All modules for which code is available

  • opennmt.config
  • opennmt.data.dataset
  • opennmt.data.noise
  • opennmt.data.text
  • opennmt.data.vocab
  • opennmt.decoders.decoder
  • opennmt.decoders.rnn_decoder
  • opennmt.decoders.self_attention_decoder
  • opennmt.encoders.conv_encoder
  • opennmt.encoders.encoder
  • opennmt.encoders.mean_encoder
  • opennmt.encoders.rnn_encoder
  • opennmt.encoders.self_attention_encoder
  • opennmt.inputters.inputter
  • opennmt.inputters.record_inputter
  • opennmt.inputters.text_inputter
  • opennmt.layers.bridge
  • opennmt.layers.common
  • opennmt.layers.position
  • opennmt.layers.reducer
  • opennmt.layers.rnn
  • opennmt.layers.transformer
  • opennmt.models.catalog
  • opennmt.models.language_model
  • opennmt.models.model
  • opennmt.models.sequence_classifier
  • opennmt.models.sequence_tagger
  • opennmt.models.sequence_to_sequence
  • opennmt.models.transformer
  • opennmt.optimizers.utils
  • opennmt.runner
  • opennmt.schedules.lr_schedules
  • opennmt.tokenizers.opennmt_tokenizer
  • opennmt.tokenizers.sentencepiece_tokenizer
  • opennmt.tokenizers.tokenizer
  • opennmt.utils.checkpoint
  • opennmt.utils.decoding
  • opennmt.utils.exporters
  • opennmt.utils.losses
  • opennmt.utils.misc
  • opennmt.utils.scorers
  • opennmt.utils.tensor