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
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
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bilstm
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BiLSTM.Config
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