index.rst

Tutorials

Interested in getting started in a new NLP area? Here are some tutorials to help get started.

Embedding

.. card::
   :title: Using Pre-trained Word Embeddings
   :link: word_embedding/word_embedding.html

   Basics on how to use word embedding with vocab in GluonNLP and apply it on word similarity and
   analogy problems.

Text Prediction

.. card::
   :title: Text Prediction Part1
   :link: text_prediction/text_prediction_part1.html

   Load pretrained NLP backbones.

.. card::
   :title: Text Prediction Part2
   :link: text_prediction/text_prediction_part2.html

   An example that finetunes MobileBERT for sentiment analysis and sentence similarity.

Question Answering

.. card::
   :title: Question Answering with GluonNLP
   :link: question_answering/question_answering.html

   Learn how to build a model for Question Answering (QA) based on the backbone provided in GluonNLP.

Tokenization

.. card::
   :title: Tokenization Part1
   :link: tokenization/tokenization_part1.html

   The basic usage tokenizers in GluonNLP.

.. card::
   :title: Tokenization Part2
   :link: tokenization/tokenization_part2.html

   Try out different subword learning algorithms.

Using Pretrained Models

.. card::
   :title: T5 for Masked Language Modeling
   :link: pretrained_models/pretrained_t5_mlm.html

   An example of using pretrained models in GluonNLP.

Compiling NLP Models

.. card::
   :title: Compile and accelerate NLP models via TVM
   :link: deep_learning_compiler/tvm_basic.html

   Basic example of how to use TVM to compile backbone models in GluonNLP.

.. toctree::
   :hidden:
   :maxdepth: 2

   word_embedding/index
   text_prediction/index
   question_answering/index
   tokenization/index
   pretrained_models/index
   deep_learning_compiler/index