OpenNMT-py
Overview
بداية سريعة
Doc: Framework
Doc: Modules
Doc: Translation
Doc: Data Loaders
Library: Example
Options: preprocess.py:
Options: train.py:
Options: translate.py:
Example: Translation
Example: Summarization
Example: Image to Text
Example: Speech to Text
اسئلة متكررة
Contributors
References
OpenNMT-py
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Contents
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Overview
التركيب
Citation
Additional resources
بداية سريعة
الخطوة 1: Preprocess the data
الخطوة 2: تدريب النموذج
الخطوة 3: الترجمة
Doc: Framework
Model
Trainer
Loss
Optim
Doc: Modules
Core Modules
Encoders
Decoders
Attention
Architecture: Transfomer
Architecture: Conv2Conv
Architecture: SRU
Alternative Encoders
Copy Attention
Structured Attention
Doc: Translation
Translations
Translator Class
Beam Search
Doc: Data Loaders
Datasets
Library: Example
Options: preprocess.py:
Data
:
Vocab
:
Pruning
:
Random
:
Logging
:
Speech
:
Options: train.py:
Model-Embeddings
:
Model-Embedding Features
:
Model- Encoder-Decoder
:
Model- Attention
:
General
:
Initialization
:
Optimization- Type
:
Optimization- Rate
:
Logging
:
Speech
:
Options: translate.py:
Model
:
Data
:
Beam
:
Logging
:
Efficiency
:
Speech
:
Example: Translation
Example: Summarization
Preprocessing the data
Training
Inference
Evaluation
Scores and Models
References
Example: Image to Text
Dependencies
Quick Start
Options
Example: Speech to Text
Dependencies
Quick Start
Options
Acknowledgement
اسئلة متكررة
How do I use Pretrained embeddings (e.g. GloVe)?
How do I use the Transformer model?
Do you support multi-gpu?
Contributors
References