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
bert_classification_models
bert_regression_model
decoders
disjoint_multitask_model
doc_model
embeddings
char_embedding
contextual_token_embedding
dict_embedding
embedding_base
embedding_list
word_embedding
ensembles
joint_model
language_models
masked_lm
model
module
output_layers
pair_classification_model
qna
query_document_pairwise_ranking_model
representations
roberta
semantic_parsers
seq_models
word_model
optimizer
task
trainers
pytext package
PyText
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embeddings
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embeddings
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char_embedding
CharacterEmbedding.Config
contextual_token_embedding
ContextualTokenEmbedding.Config
dict_embedding
DictEmbedding.Config
embedding_base
EmbeddingBase.Config
embedding_list
EmbeddingList.Config
word_embedding
WordEmbedding.Config
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