riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-03 12:50:06 +06:00
Code Issues Actions 28 Packages Projects Releases Wiki Activity
b8e5cd5396
transformers/examples/research_projects
History
Sai-Suraj-27 b8e5cd5396
Refactor: Removed un-necessary object base class (#32230) 
* Refactored to remove un-necessary object base class.

* small fix.
2024-07-26 10:33:02 +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 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 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 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: 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 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 Refactor: Removed un-necessary object base class (#32230) 2024-07-26 10:33:02 +02:00
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 Refactor: Removed un-necessary object base class (#32230) 2024-07-26 10:33:02 +02:00
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.