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dependabot[bot] 4a17200891
Bump tqdm from 4.48.2 to 4.66.3 in /examples/research_projects/lxmert (#30644) 
Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.48.2 to 4.66.3.
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](https://github.com/tqdm/tqdm/compare/v4.48.2...v4.66.3)

---
updated-dependencies:
- dependency-name: tqdm
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
 		2024-05-07 12:45:29 +01:00
..
adversarial Update quality tooling for formatting (#21480) 2023-02-06 18:10:56 -05:00
bert-loses-patience Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
bertabs Remove static pretrained maps from the library's internals (#29112) 2024-03-25 10:33:38 +01:00
bertology Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
codeparrot Bump torch from 1.11.0 to 1.13.1 in /examples/research_projects/codeparrot (#21170) 2024-05-01 16:40:19 +01:00
decision_transformer Bump tqdm from 4.63.0 to 4.66.3 in /examples/research_projects/decision_transformer (#30646) 2024-05-07 11:57:10 +01:00
deebert Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
distillation Bump gitpython from 3.1.32 to 3.1.41 in /examples/research_projects/distillation (#30586) 2024-05-01 16:36:57 +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 Bump torch from 1.9.0+cpu to 1.13.1 in /examples/research_projects/jax-projects/hybrid_clip (#21167) 2024-05-01 18:37:55 +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 tqdm from 4.48.2 to 4.66.3 in /examples/research_projects/lxmert (#30644) 2024-05-07 12:45:29 +01:00
mlm_wwm Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
mm-imdb Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
movement-pruning Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
onnx/summarization Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
performer Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
pplm Update all references to canonical models (#29001) 2024-02-16 08:16:58 +01:00
quantization-qdqbert Make torch xla available on GPU (#29334) 2024-03-11 14:07:16 +00:00
rag [Docs] Add language identifiers to fenced code blocks (#28955) 2024-02-12 10:48:31 -08:00
rag-end2end-retriever fix: typos (#29653) 2024-03-15 15:02:50 +00:00
robust-speech-event 🚨🚨🚨Deprecate `evaluation_strategy` to `eval_strategy`🚨🚨🚨 (#30190) 2024-04-18 12:49:43 -04:00
self-training-text-classification 🚨🚨🚨Deprecate `evaluation_strategy` to `eval_strategy`🚨🚨🚨 (#30190) 2024-04-18 12:49:43 -04:00
seq2seq-distillation [Docs] Fix spelling and grammar mistakes (#28825) 2024-02-02 08:45:00 +01:00
tapex 🚨🚨🚨Deprecate `evaluation_strategy` to `eval_strategy`🚨🚨🚨 (#30190) 2024-04-18 12:49:43 -04:00
visual_bert Bump tqdm from 4.48.2 to 4.66.3 in /examples/research_projects/visual_bert (#30645) 2024-05-07 11:57:30 +01:00
vqgan-clip [Docs] Add language identifiers to fenced code blocks (#28955) 2024-02-12 10:48:31 -08:00
wav2vec2 🚨🚨🚨Deprecate `evaluation_strategy` to `eval_strategy`🚨🚨🚨 (#30190) 2024-04-18 12:49:43 -04:00
xtreme-s 🚨🚨🚨Deprecate `evaluation_strategy` to `eval_strategy`🚨🚨🚨 (#30190) 2024-04-18 12:49:43 -04:00
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.