Files

Kashif Rasul 9fe82793ee [Style] fix E721 warnings (#36474 )

* fix E721 warnings

* config.hidden_size is not a tuple

* fix copies

* fix-copies

* not a tuple

* undo

* undo

2025-03-03 18:03:42 +00:00

adversarial

Bump transformers from 4.38.0 to 4.48.0 in /examples/research_projects/adversarial (#36168 )

2025-02-13 15:06:16 +00:00

bert-loses-patience

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/bert-loses-patience (#31291 )

2024-06-07 16:45:54 +01:00

bertabs

Refactor: Removed un-necessary object base class (#32230 )

2024-07-26 10:33:02 +02:00

bertology

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/bertology (#31256 )

2024-06-06 12:42:40 +01:00

codeparrot

Bump transformers from 4.38.0 to 4.48.0 in /examples/research_projects/codeparrot/examples (#36237 )

2025-02-17 16:28:43 +00:00

decision_transformer

Bump cryptography from 43.0.1 to 44.0.1 in /examples/research_projects/decision_transformer (#36142 )

2025-02-12 13:34:52 +00:00

deebert

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/deebert (#31244 )

2024-06-05 11:12:58 +01:00

distillation

fix: Fixed raising TypeError instead of ValueError for invalid type (#32111 )

2024-07-22 17:46:17 +01:00

fsner

Refactor: Removed un-necessary object base class (#32230 )

2024-07-26 10:33:02 +02:00

information-gain-filtration

Update all references to canonical models (#29001 )

2024-02-16 08:16:58 +01:00

jax-projects

Bump torch from 1.13.1 to 2.2.0 in /examples/research_projects/jax-projects/hybrid_clip (#33137 )

2024-08-27 13:33:37 +02:00

layoutlmv3

🚨🚨🚨Deprecate evaluation_strategy to eval_strategy🚨🚨🚨 (#30190 )

2024-04-18 12:49:43 -04:00

longform-qa

Update all references to canonical models (#29001 )

2024-02-16 08:16:58 +01:00

luke

Replace accelerator.use_fp16 in examples (#33513 )

2024-09-17 04:13:06 +02:00

lxmert

Move DataCollatorForMultipleChoice from the docs to the package (#34763 )

2025-02-13 12:01:28 +01:00

mlm_wwm

Update all references to canonical models (#29001 )

2024-02-16 08:16:58 +01:00

mm-imdb

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

movement-pruning

[Style] fix E721 warnings (#36474 )

2025-03-03 18:03:42 +00:00

onnx/summarization

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

performer

Refactor: Removed un-necessary object base class (#32230 )

2024-07-26 10:33:02 +02:00

pplm

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/pplm (#31352 )

2024-06-10 18:59:46 +01:00

quantization-qdqbert

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

rag

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

rag-end2end-retriever

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

robust-speech-event

layernorm_decay_fix (#35927 )

2025-02-04 11:01:49 +01:00

self-training-text-classification

Replace accelerator.use_fp16 in examples (#33513 )

2024-09-17 04:13:06 +02:00

seq2seq-distillation

Updated ruff to the latest version (#31926 )

2024-07-23 17:07:31 +02:00

synthid_text

Add SynthID (watermerking by Google DeepMind) (#34350 )

2024-10-23 21:18:52 +01:00

tapex

fix: Fixed raising TypeError instead of ValueError for invalid type (#32111 )

2024-07-22 17:46:17 +01:00

token-healing

Token healing (#30081 )

2024-06-03 10:53:15 +02:00

visual_bert

Move DataCollatorForMultipleChoice from the docs to the package (#34763 )

2025-02-13 12:01:28 +01:00

vqgan-clip

Bump transformers from 4.38.0 to 4.48.0 in /examples/research_projects/vqgan-clip (#36136 )

2025-02-12 13:21:09 +00:00

wav2vec2

🚨🚨🚨Deprecate evaluation_strategy to eval_strategy🚨🚨🚨 (#30190 )

2024-04-18 12:49:43 -04:00

xtreme-s

update ruff version (#30932 )

2024-05-22 06:40:15 +02:00

zero-shot-distillation

[Docs] Add language identifiers to fenced code blocks (#28955 )

2024-02-12 10:48:31 -08:00

README.md

[Docs] Add language identifiers to fenced code blocks (#28955 )

2024-02-12 10:48:31 -08:00

README.md

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.