transformers/examples/research_projects
2021-11-11 17:50:21 +01:00
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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 Remove n_ctx from configs (#14165) 2021-10-29 11:50:25 +02:00
fsner Update FSNER code in examples->research_projects->fsner (#13864) 2021-10-05 22:47:11 -04:00
jax-projects Fix Flax params dtype (#13098) 2021-11-11 14:45:20 +05:30
longform-qa [style] consistent nn. and nn.functional: part 4 examples (#12156) 2021-06-14 12:28:24 -07:00
lxmert upgrade sentencepiece version (#13564) 2021-09-15 15:25:03 +02:00
mlm_wwm fix research_projects/mlm_wwm readme.md examples (#13646) 2021-09-20 15:01:35 -04:00
mm-imdb remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
movement-pruning upgrade sentencepiece version (#13564) 2021-09-15 15:25:03 +02:00
performer remove extra white space from log format (#12360) 2021-06-25 13:20:14 -07:00
pplm Fix execution PATH for PPLM Example (#14287) 2021-11-06 10:33:47 -04:00
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 Update Transformers to huggingface_hub >= 0.1.0 (#14251) 2021-11-02 18:58:42 -04:00
visual_bert upgrade sentencepiece version (#13564) 2021-09-15 15:25:03 +02:00
wav2vec2 fix --gradient_checkpointing (#13964) 2021-11-11 17:50:21 +01:00
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.