LLM-Drop
The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
How to download and setup LLM-Drop
Open terminal and run command
git clone https://github.com/CASE-Lab-UMD/LLM-Drop.git
git clone is used to create a copy or clone of LLM-Drop 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 LLM-Drop https://github.com/CASE-Lab-UMD/LLM-Drop/archive/master.zip
Or simply clone LLM-Drop with SSH
[email protected]:CASE-Lab-UMD/LLM-Drop.git
If you have some problems with LLM-Drop
You may open issue on LLM-Drop support forum (system) here: https://github.com/CASE-Lab-UMD/LLM-Drop/issuesSimilar to LLM-Drop repositories
Here you may see LLM-Drop 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