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
calibration_metric_reporter
classification_metric_reporter
compositional_metric_reporter
dense_retrieval_metric_reporter
disjoint_multitask_metric_reporter
intent_slot_detection_metric_reporter
language_model_metric_reporter
metric_reporter
pairwise_ranking_metric_reporter
PairwiseRankingMetricReporter.Config
regression_metric_reporter
seq2seq_compositional
seq2seq_metric_reporter
squad_metric_reporter
word_tagging_metric_reporter
models
optimizer
task
torchscript
trainers
pytext package
PyText
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pytext
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metric_reporters
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pairwise_ranking_metric_reporter
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pairwise_ranking_metric_reporter
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PairwiseRankingMetricReporter.Config
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