PyText
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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
  • Config Files Explained
  • Config Commands

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
  • XLM-RoBERTa
  • Semantic parsing with sequence-to-sequence models

Extending PyText

  • Architecture Overview
  • Custom Data Format
  • Custom Tensorizer
  • Using External Dense Features
  • Creating A New Model
  • Hacking PyText

References

  • pytext
    • config
    • data
    • exporters
    • loss
    • metric_reporters
    • models
      • bert_classification_models
      • bert_regression_model
      • decoders
      • disjoint_multitask_model
      • doc_model
      • embeddings
        • char_embedding
        • contextual_token_embedding
        • dict_embedding
        • embedding_base
        • embedding_list
        • mlp_embedding
        • scriptable_embedding_list
        • word_embedding
        • word_seq_embedding
      • ensembles
      • joint_model
      • language_models
      • masked_lm
      • model
      • module
      • output_layers
      • pair_classification_model
      • qna
      • query_document_pairwise_ranking_model
      • r3f_models
      • representations
      • roberta
      • semantic_parsers
      • seq_models
      • two_tower_classification_model
      • word_model
    • optimizer
    • task
    • torchscript
    • trainers
  • pytext package
PyText
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  • models »
  • embeddings
  • Edit on GitHub

embeddingsΒΆ

  • char_embedding
    • CharacterEmbedding.Config
  • contextual_token_embedding
    • ContextualTokenEmbedding.Config
  • dict_embedding
    • DictEmbedding.Config
  • embedding_base
    • EmbeddingBase.Config
  • embedding_list
    • EmbeddingList.Config
  • mlp_embedding
    • MLPEmbedding.Config
  • scriptable_embedding_list
    • ScriptableEmbeddingList.Config
  • word_embedding
    • WordEmbedding.Config
  • word_seq_embedding
    • WordSeqEmbedding.Config
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