AutoTransformers
Getting Started
Why you should use AutoTransformers
System Requirements
Installation
Getting Started - Wizard (Suggested)
Getting Started - Manual
Dataset and DatasetLoader
Babysit the training
Environment Variables
Document
Computer Vision
News
AutoTransformers Changelog
Tutorials
Simple Training
Multilabel text classification
Multi-Single label text classification
Document Information Extraction (DIE)
Multitask Models
Configuration Options
Saving, loading and checkpointing models
Progress tracking
Active Learning
Text Information Extraction (TIE)
Document Classification (DC)
Developer API
High-Level API
Resources
Glossary
About
AutoTransformers
Index
Index
A
|
C
|
D
|
E
|
F
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
S
|
T
A
Active learning
AutoTransformer
(class in autotransformers.at)
AutoTransformer.ATPrediction (class in autotransformers.at)
autotransformers
module
AutoTransformers library
AutoTransformers wizard
autotransformers.at
module
C
Checkpointing
Classification
D
Data pipeline
Dataset
DatasetLoader
Device
Domain
E
evaluate() (autotransformers.at.AutoTransformer method)
F
finish() (autotransformers.at.AutoTransformer method)
H
help() (in module autotransformers)
Hyperparameter
I
InformationExtraction
init() (autotransformers.at.AutoTransformer method)
init_deepspeed() (in module autotransformers.at)
init_logging() (in module autotransformers.at)
input (autotransformers.at.AutoTransformer.ATPrediction attribute)
L
Label
LLM
load() (autotransformers.at.AutoTransformer method)
M
Model
module
autotransformers
autotransformers.at
Multi-label classification
Multi-single-label classification
N
Node
O
output (autotransformers.at.AutoTransformer.ATPrediction attribute)
P
Performance
S
Sample
sample() (autotransformers.at.AutoTransformer method)
save() (autotransformers.at.AutoTransformer method)
set_config() (autotransformers.at.AutoTransformer method)
Single-label classification
Skill
summary() (autotransformers.at.AutoTransformer method)
T
Task
train() (autotransformers.at.AutoTransformer method)