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Building DistilHN: Using ML to Summarize News Articles 

DataScienceCastnet
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21 окт 2024

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Комментарии : 8   
@numannebuni
@numannebuni Год назад
Awesome and very nice explained! I had a peek on the rest of your vids and I got excited (will watch them soon as I wanted to go through 🤗 course myself anyways). Very interesting subjects and I'm glad you're explaining them so well. Thanks!
@numannebuni
@numannebuni Год назад
Oh, wow that's your own class. Neat!
@datasciencecastnet
@datasciencecastnet Год назад
@@numannebuni haha yup it was a good collaboration! Glad you liked the video :)
@hamelhusain7140
@hamelhusain7140 Год назад
Yaaaay!!!
@jonathangrant7788
@jonathangrant7788 Год назад
Why are you truncating articles to 2048 characters? If it is because of the max input from the model, how can you summarize longer articles?
@taeckha2500
@taeckha2500 Год назад
this is what I'm wondering too
@edz8659
@edz8659 Год назад
You'll have to summarize in chunks and then summarize the result of those summarizations.
@datasciencecastnet
@datasciencecastnet Год назад
Ha, that's actually a hold-over from an older version where I was worried about token counts. I *think* the max number of tokens for this Bart model is 1024 (which will usually be more than 2k characters), but I figured to save time and compute I could leave the truncation in, and worse case I get a summary of just the first part of a given article. Testing it without the truncation and it works just fine by the look of it :)
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