Download torrent file with google colab with 2 lines of code

Tutorials & Methods
21

around how many gb u have downloaded i am asking bcz i have 10 gb on going

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22

Thanks :heart_eyes:

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Capture
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Every thing works fine but there are some changes in second code line make it as shown in pic and u are good to go. u can also change the directory but make sure if it contains space then use ’ ’ to write it o.w. it count it as torrent every thing after that space.

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24

Around 20-25GB total I think.

25

in one day?

27

not working disconnect pretty fast within 2 min. error saying Port Forwarding: Stopped

28

See. If you connect using GPU you can download around 30 GB. If you connect using TPU or normally, you will get around 80 GB to download. Around 6 months ago you could download around 350 GB, but now they have reduced it drastically for unknown reasons.

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29

i know that i am asking bcz that guy says google restricts u after some amount of data usage and doesn’t let u allow to connect to backend. well till now i have no issue, i am already gone over 100 GB.

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30

Hi all,

This is detail guide. Can you see here

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31

Great video. Would it be fair to say that this entire method with Google Collab is a slightly more long winded version of aria2 (Fully set up)?

32

Here’s a video guide that might help:-

33

I have compiled the code, so you just need to click it, no need to add more codes:-

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34

Hi,
Use Shared drives instead of Shared Drives.
Attention : Case sensitive

35

Do you know how to tweak the code for Shared Drives?

36

Yes ,
Replace My Drive with Shared drives/name of Shared drive

37

hey can i join on your shared drive..

38

Whats means??! If i download juste simple file not torrent. I will be restricted also they will mot ne allowed to connect backend normal

39

guy,just want to clarify that, if i download a huge file using co lab, Does it affect to my local internet data package? as a example if download 10GB file, Did a use 10GB of my local data traffic ?

40

No, when you use colab all the resources that’s being used are from google servers. So, don’t worry, your bandwidth will not be used.

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41

No it doesn’t. That’s why you should select the appropriate runtime at the start.

Local runtime (don’t use this option) : uses your computer local system resources.

Host runtime (this is the option you should choose): uses your host (google colab) resources

Resources here refer to your CPU, RAM and internet bandwidth.

Hope this is clear enough.

Cheers!!!

… And Over Every Possessor of Knowledge, There is (Some) One (Else) More Knowledgeable.

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