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HuggingFace_transformer/examples/research_projects
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Tom Aarsen 40ea9ab2a1 Add many missing spaces in adjacent strings (#26751) 
Add missing spaces in adjacent strings
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adversarial
Update quality tooling for formatting (#21480)
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bert-loses-patience
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bertabs
Apply ruff flake8-comprehensions (#21694)
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bertology
Apply ruff flake8-comprehensions (#21694)
2023-02-22 09:14:54 +01:00
codeparrot
Fix TypeError: Object of type int64 is not JSON serializable (#24340)
2023-06-27 12:15:49 +01:00
decision_transformer
Bump pillow from 9.3.0 to 10.0.1 in /examples/research_projects/decision_transformer (#26580)
2023-10-04 11:52:46 +02:00
deebert
Add many missing spaces in adjacent strings (#26751)
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distillation
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fsner
Fix TypeError: Object of type int64 is not JSON serializable (#24340)
2023-06-27 12:15:49 +01:00
information-gain-filtration
Add many missing spaces in adjacent strings (#26751)
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jax-projects
Add many missing spaces in adjacent strings (#26751)
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layoutlmv3
Fix quality due to ruff release
2023-03-22 20:45:08 -04:00
longform-qa
Apply ruff flake8-comprehensions (#21694)
2023-02-22 09:14:54 +01:00
luke
Add many missing spaces in adjacent strings (#26751)
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lxmert
Bump urllib3 from 1.26.5 to 1.26.17 in /examples/research_projects/lxmert (#26551)
2023-10-03 08:54:50 +02:00
mlm_wwm
Add many missing spaces in adjacent strings (#26751)
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mm-imdb
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movement-pruning
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onnx/summarization
Apply ruff flake8-comprehensions (#21694)
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performer
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pplm
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quantization-qdqbert
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rag
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rag-end2end-retriever
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robust-speech-event
Add many missing spaces in adjacent strings (#26751)
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self-training-text-classification
Update quality tooling for formatting (#21480)
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seq2seq-distillation
Add many missing spaces in adjacent strings (#26751)
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tapex
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visual_bert
Bump urllib3 from 1.26.5 to 1.26.17 in /examples/research_projects/visual_bert (#26552)
2023-10-03 08:55:01 +02:00
vqgan-clip
Apply ruff flake8-comprehensions (#21694)
2023-02-22 09:14:54 +01:00
wav2vec2
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xtreme-s
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zero-shot-distillation
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README.md
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2020-12-11 10:07:02 -05:00

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.

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