Use fasttext to train a skipgram model

[sehsanm]

No description provided.

[sehsanm]

Hi
You cannot start this task unless our corpora are ready. Please move it back to TODO and unassign it

[abb4s]

hi , how can i upload the model ?

[sehsanm]

Hi Abbas, I will send you the edit link privately Ehsan

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On Wed, Jan 2, 2019 at 2:25 PM abbas ***@***.***> wrote: hi , how can i upload the model ? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADWBPO8H7CZbk8C1roJpAtnVOWLn9aL9ks5u_JA4gaJpZM4Y-lT9> .

[sehsanm]

Can you publish the result you got from the model in Readme.md file ?

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On Wed, Jan 2, 2019 at 2:25 PM abbas ***@***.***> wrote: hi , how can i upload the model ? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADWBPO8H7CZbk8C1roJpAtnVOWLn9aL9ks5u_JA4gaJpZM4Y-lT9> .

[abb4s]

hi, thanks .
what do you mean by result ?

[sehsanm]

Analogy score Similarity Score Categorization (Not Ready Yet!)

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On Wed, Jan 2, 2019 at 3:13 PM abbas ***@***.***> wrote: what do you mean by result ? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADWBPKrvJu0m4Vf7oMkZlfxKxj3t5W3_ks5u_JtYgaJpZM4Y-lT9> .

[abb4s]

aha , actually I haven't ran analogy test and similarity score yet on this model
. but okay.

[sehsanm]

That is the whole point of this assignment ;)

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On Wed, Jan 2, 2019 at 3:16 PM abbas ***@***.***> wrote: aha , actually I haven't ran analogy test and similarity score yet . but okay. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADWBPLM2bsjJv0c1vPycy8EdFUm0TBEiks5u_JwLgaJpZM4Y-lT9> .

[abb4s]

:)) . یه لحظه حس کردم چقدر راحته این تسک

[abb4s]

سلام و خسته نباشید بر همگان :)‌
راسش میخواسم فست تکست رو با سایز بردار ۳۰۰ ترین کنم که متاسفانه لپتابم هنگ میکنه . چیکار کنیم به نظرتون ؟

[sehsanm]

سلام اون ایمیل اینتل رو که زده بودم دیدی ؟

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On Wed, 9 Jan. 2019, 8:50 pm abbas ***@***.*** wrote: سلام و خسته نباشید بر همگان :)‌ راسش میخواسم فست تکست رو با سایز بردار ۳۰۰ ترین کنم که متاسفانه لپتابم هنگ میکنه . چیکار کنیم به نظرتون ؟ — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADWBPL7S4CRWkczNLyJFcbJ5hTMi3cRWks5vBiT6gaJpZM4Y-lT9> .

[abb4s]

سلام بله دیدیم و ایمیل زدم بهشون. اتفاقا چن روز پیش جواب دادن که :
"To provide you the desired access, we want you to adopt our Intel AI Academy content on ML/DL .
I have just provided you access to the file share. I have also attached summaries of the courses so that you can find your way through the material more easily.

Intel uses Syncplicity for file sharing. You should be getting an email from Syncplicity with a link to access the folder containing the materials. All of the instructional content is available in two zip files called DL501, ML501,TF501. There are a few hoops to jump through to access the shared folder. You will have to create a Syncplicity account, which takes just a few seconds. Then you should be prompted to enter a passcode that gets emailed to you, and then you will be asked to create a password specifically for the Intel content. By the way, there have been some issues when you try to use Chrome to access the files. I'd recommend Firefox or Internet Explorer. If you run into any problems, please let me know, and I'll try to get the materials to you another way.
Please attribute Intel when you use the materials. "
ولی از سامانه فایل شیرینگ که بالا گفته هنوز ایمیلی نیومده. بهش ریپلای کردم مشکل رو ولی هنوز چیزی نگفته .

[abb4s]

به نظر گوگل کولب هم گزینه بدی نباشه . از اونجایی که دسترسی به ترمینال هم میده . فک میکنم بشه ازش برای اینکار استفاده کرد .
من اجراش کردم ولی همانطور کع در تصویر زیر مشاهده مکنید زمان تخمین زده برای محاسبه حدود ۱۰ ساعته!

گوگل کولب = google colab :):)

[abb4s]

ولی فک کنم برای دوستان دیگه ای که از جنسیم استفاده میکنن سرعت خوبی بده بخاطر تی پی یو و جی پی یوای کع داره(و فک کنم کدای پایتون رو فقط به تی پی یو یا جی پی یو میده ) گرچه من امتحانش نکردم هنوز.