PyText

stable

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

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
- optimizer
- task
- trainers
pytext package

PyText

Docs »
pytext »
config »
pytext_config
Edit on GitHub

pytext_config¶

PyTextConfig

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