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Time is super short.

Plan:

just tokenise hacker news
load pre-trained Word2Vec model
ensure we save everything on huggingface
create a plan for specifically how we should use docker and the external server to push this code (have chatGPT do this)
finetune model on hacker news -> save to hackernews
randomly sub-sample 0 score posts so that there are an equal number to posts that have 1+ posts
train model
expose as an api

then do a bunch of visualisation

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