transformers/examples/research_projects
2021-09-02 11:19:49 +05:30
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adversarial Update namespaces inside torch.utils.data to the latest. (#13167) 2021-08-19 14:29:51 +02:00
bert-loses-patience remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
bertabs make style (#11442) 2021-04-26 13:50:34 +02:00
bertology [style] consistent nn. and nn.functional: part 4 examples (#12156) 2021-06-14 12:28:24 -07:00
deebert remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
distillation Update namespaces inside torch.utils.data to the latest. (#13167) 2021-08-19 14:29:51 +02:00
jax-projects [Flax/run_hybrid_clip] Fix duplicating images when captions_per_image exceeds the number of captions, enable truncation 2021-09-02 11:19:49 +05:30
longform-qa [style] consistent nn. and nn.functional: part 4 examples (#12156) 2021-06-14 12:28:24 -07:00
lxmert Bump notebook from 6.1.5 to 6.4.1 in /examples/research_projects/lxmert (#13226) 2021-08-24 09:52:39 -04:00
mlm_wwm remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
mm-imdb remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
movement-pruning remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
performer remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
pplm [style] consistent nn. and nn.functional: part 4 examples (#12156) 2021-06-14 12:28:24 -07:00
rag minor fixes in original RAG training (#12395) 2021-06-29 13:39:48 +01:00
rag-end2end-retriever rm require_version_examples (#12088) 2021-06-09 11:02:52 -07:00
seq2seq-distillation Rely on huggingface_hub for common tools (#13100) 2021-08-12 14:59:02 +02:00
visual_bert Add VisualBERT demo notebook (#12263) 2021-08-11 10:10:59 -04:00
wav2vec2 Update README.md 2021-08-08 17:11:19 +02:00
zero-shot-distillation remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
README.md Reorganize examples (#9010) 2020-12-11 10:07:02 -05:00

Research projects

This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.

To use any of them, just run the command

pip install -r requirements.txt

inside the folder of your choice.

If you need help with any of those, contact the author(s), indicated at the top of the README of each folder.