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train-dalle-together
mirror de https://github.com/learning-at-home/dalle-hivemind.git
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Aleksandr Borzunov f621362466 Make logging less verbose 3 anos atrás
lib 20e2a3aab2 Use dalle-pytorch instead of LeanAlbert 3 anos atrás
.gitignore 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 anos atrás
README.md 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 anos atrás
arguments.py 1c30209eba Increase timeouts 3 anos atrás
callback.py 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 anos atrás
data.py 31215c85d3 Handle None captions 3 anos atrás
huggingface_auth.py 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 anos atrás
requirements.txt 72fc0bcdb7 Initial commit (ru-max branch without private code) 3 anos atrás
run_aux_peer.py f621362466 Make logging less verbose 3 anos atrás
run_trainer.py f621362466 Make logging less verbose 3 anos atrás
run_trainer_tpu.py f621362466 Make logging less verbose 3 anos atrás
task.py 20e2a3aab2 Use dalle-pytorch instead of LeanAlbert 3 anos atrás
utils.py f621362466 Make logging less verbose 3 anos atrás

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