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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
      • ensembles
      • joint_model
      • language_models
      • model
      • module
      • output_layers
      • pair_classification_model
      • representations
        • bilstm
        • bilstm_doc_attention
        • bilstm_doc_slot_attention
        • bilstm_slot_attn
        • biseqcnn
        • contextual_intent_slot_rep
        • docnn
        • jointcnn_rep
        • pair_rep
        • pooling
        • pure_doc_attention
        • representation_base
        • seq_rep
        • slot_attention
      • semantic_parsers
      • seq_models
      • word_model
    • optimizer
    • task
    • trainers

Library Reference

  • pytext package
PyText
  • Docs »
  • pytext »
  • models »
  • representations »
  • bilstm
  • Edit on GitHub

bilstmΒΆ

  • BiLSTM.Config
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