P-tuning

natural-language-processing

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

How to download and setup P-tuning

Open terminal and run command

git clone https://github.com/THUDM/P-tuning.git

git clone is used to create a copy or clone of P-tuning repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with P-tuning https://github.com/THUDM/P-tuning/archive/master.zip

Or simply clone P-tuning with SSH

[email protected]:THUDM/P-tuning.git

If you have some problems with P-tuning

You may open issue on P-tuning support forum (system) here: https://github.com/THUDM/P-tuning/issues

Similar to P-tuning repositories

Here you may see P-tuning alternatives and analogs

natural-language-processing lectures spaCy HanLP gensim MatchZoo tensorflow-nlp Awesome-pytorch-list spacy-models Repo-2017 stanford-tensorflow-tutorials awesome-nlp nlp_tasks nltk pattern TextBlob CoreNLP allennlp mycroft-core practical-pytorch textract languagetool MITIE machine_learning_examples prose arXivTimes ltp libpostal sling DeepNLP-models-Pytorch