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
field_config
module_config
pytext_config
data
exporters
loss
metric_reporters
models
optimizer
task
trainers
pytext package
PyText
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config
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config
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field_config
FeatureConfig
FloatVectorConfig
module_config
CNNParams
pytext_config
PyTextConfig
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v: stable
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