Files

Sai-Suraj-27 c3cd9d807e Fix: Fixed directory path for utils folder in test_tokenization_utils.py (#32601 )

* Removed un-necessary expressions.

* Fixed directory path for utils folder in test_tokenization_utils.py

2024-08-13 16:48:15 +01:00

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

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 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 tensorflow from 2.11.1 to 2.12.1 in /examples/research_projects/decision_transformer (#32341 )

2024-08-12 19:57:07 +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

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

Fix: Fixed directory path for utils folder in test_tokenization_utils.py (#32601 )

2024-08-13 16:48:15 +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

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

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

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

fix: Added missing raise keyword for few exceptions (#32333 )

2024-07-30 17:53:03 +01:00

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

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 torch from 1.13.1 to 2.2.0 in /examples/research_projects/visual_bert (#32220 )

2024-08-12 16:02:52 +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.