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train-dalle-together
zrkadlo https://github.com/learning-at-home/dalle-hivemind.git
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Strom: c61c61b20d
Branche Tagy
train-dalle-tog...
ZIP TAR.GZ
Aleksandr Borzunov c61c61b20d Use t5-small tokenizer 3 rokov pred
lib 20e2a3aab2 Use dalle-pytorch instead of LeanAlbert 3 rokov pred
.gitignore 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 rokov pred
README.md 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 rokov pred
arguments.py c61c61b20d Use t5-small tokenizer 3 rokov pred
callback.py 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 rokov pred
data.py c61c61b20d Use t5-small tokenizer 3 rokov pred
huggingface_auth.py 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 rokov pred
requirements.txt 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 rokov pred
run_aux_peer.py f621362466 Make logging less verbose 3 rokov pred
run_trainer.py 380a5f3231 Set num threads to <= 4 3 rokov pred
run_trainer_tpu.py 380a5f3231 Set num threads to <= 4 3 rokov pred
task.py c61c61b20d Use t5-small tokenizer 3 rokov pred
utils.py f621362466 Make logging less verbose 3 rokov pred

README.md

TODO write a setup instruction

Note: You might want to have several initial peers so that if one dies,

new workers still can join the collaboration via alive initial peers' addresses.
Specify initial_peers argument for that purpose