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
    • opennmt.data
    • opennmt.decoders
    • opennmt.encoders
    • opennmt.inputters
    • opennmt.layers
    • opennmt.models
      • ClassInputter
      • EmbeddingsSharingLevel
      • GPT2Small
      • LanguageModel
      • LanguageModelInputter
      • ListenAttendSpell
      • LstmCnnCrfTagger
      • LuongAttention
      • Model
      • ScalingNmtEnDe
      • ScalingNmtEnFr
      • SequenceClassifier
      • SequenceGenerator
      • SequenceTagger
      • SequenceToSequence
      • SequenceToSequenceInputter
      • TagsInputter
      • Transformer
      • TransformerBase
      • TransformerBaseRelative
      • TransformerBaseSharedEmbeddings
      • TransformerBig
      • TransformerBigRelative
      • TransformerBigSharedEmbeddings
      • TransformerTiny
      • get_model_from_catalog
      • register_model_in_catalog
    • opennmt.optimizers
    • opennmt.schedules
    • opennmt.tokenizers
    • opennmt.utils
OpenNMT-tf
  • »
  • Python »
  • opennmt.models

opennmt.models

Module defining models.

  • ClassInputter
  • EmbeddingsSharingLevel
  • GPT2Small
  • LanguageModel
  • LanguageModelInputter
  • ListenAttendSpell
  • LstmCnnCrfTagger
  • LuongAttention
  • Model
  • ScalingNmtEnDe
  • ScalingNmtEnFr
  • SequenceClassifier
  • SequenceGenerator
  • SequenceTagger
  • SequenceToSequence
  • SequenceToSequenceInputter
  • TagsInputter
  • Transformer
  • TransformerBase
  • TransformerBaseRelative
  • TransformerBaseSharedEmbeddings
  • TransformerBig
  • TransformerBigRelative
  • TransformerBigSharedEmbeddings
  • TransformerTiny
  • get_model_from_catalog
  • register_model_in_catalog
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