What tech stack do you use for research?

I am planning on working on large multiomodal training (1B parameters) for text+audio. As of now I was thinking of going with pytorch, deepspeed, wandb. What do you recommend and what do you use in general for distributed large model training?

Do you use hugginface? I felt it a bit too wrapped that it becomes messy to access the bare backbones, but haven't given it a proper try. For out of shelf models and custom dataset training that does sound …

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