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Getting Started

  • Installation
  • Train your first model
  • Execute your first model
  • Visualize Model Training with TensorBoard
  • Use PyText models in your app
  • Serve Models in Production

Training More Advanced Models

  • Train Intent-Slot model on ATIS Dataset
  • Hierarchical intent and slot filling
  • Multitask training with disjoint datasets
  • Data Parallel Distributed Training

Extending PyText

  • Architecture Overview
  • Creating A New Task

Config Reference

  • pytext
    • config
    • data
    • exporters
    • loss
    • metric_reporters
    • models
      • decoders
      • disjoint_multitask_model
      • doc_model
      • embeddings
        • char_embedding
        • dict_embedding
        • embedding_base
        • embedding_list
        • pretrained_model_embedding
        • word_embedding
      • ensembles
      • joint_model
      • language_models
      • model
      • module
      • output_layers
      • pair_classification_model
      • representations
      • semantic_parsers
      • seq_models
      • word_model
    • optimizer
    • task
    • trainers

Library Reference

  • pytext package
PyText
  • Docs »
  • pytext »
  • models »
  • embeddings »
  • char_embedding
  • Edit on GitHub

char_embeddingΒΆ

  • CharacterEmbedding.Config
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