Files

Sai-Suraj-27 d2c687b3f1 Updated ruff to the latest version (#31926 )

* Updated ruff version and fixed the required code accorindg to the latest version.

* Updated ruff version and fixed the required code accorindg to the latest version.

* Added noqa directive to ignore 1 error shown by ruff

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

adversarial

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/adversarial (#31320 )

2024-06-07 19:28:45 +01:00

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

Bump transformers from 3.5.1 to 4.38.0 in /examples/research_projects/bertabs (#31290 )

2024-06-06 16:13:18 +01:00

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 scikit-learn from 1.1.2 to 1.5.0 in /examples/research_projects/codeparrot/examples (#32052 )

2024-07-18 13:29:56 +01:00

decision_transformer

Bump scikit-learn from 1.0.2 to 1.5.0 in /examples/research_projects/decision_transformer (#31458 )

2024-07-18 13:13:38 +01:00

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

Fix TypeError: Object of type int64 is not JSON serializable (#24340 )

2023-06-27 12:15:49 +01:00

information-gain-filtration

Update all references to canonical models (#29001 )

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

jax-projects

fix: Removed duplicate field definitions in some classes (#31888 )

2024-07-10 13:46:31 +01:00

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

Fix input data file extension in examples (#28741 )

2024-01-29 10:06:31 +00:00

lxmert

Bump certifi from 2023.7.22 to 2024.7.4 in /examples/research_projects/lxmert (#31838 )

2024-07-08 11:17:49 +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

update ruff version (#30932 )

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

onnx/summarization

update ruff version (#30932 )

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

performer

update ruff version (#30932 )

2024-05-22 06:40:15 +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

update ruff version (#30932 )

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

self-training-text-classification

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

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

seq2seq-distillation

Updated ruff to the latest version (#31926 )

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

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

Bump certifi from 2023.7.22 to 2024.7.4 in /examples/research_projects/visual_bert (#31872 )

2024-07-09 22:20:39 +01:00

vqgan-clip

Bump transformers from 4.26.0 to 4.38.0 in /examples/research_projects/vqgan-clip (#31242 )

2024-06-04 22:11:45 +01:00

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.