Комментарии:
you are eye blinking that's awesome 😊😊
ОтветитьWhat is the app you are using to code
ОтветитьSimple and straight to the point!
Ответитьyour face also look like huggingface 😁
ОтветитьBro gives off good vibes
ОтветитьGreat intro video!
ОтветитьThanks! Clear and informative
ОтветитьThank you so much for the tutorial. It was very helpful. The explanation was precise and concise!
ОтветитьThe best explanation
ОтветитьMan such a cherpy guy. I loved your energy. Thanks for the video.
Ответитьbrilliant!!!
ОтветитьExactly what I was looking for. Thank you for sharing!
Ответитьwhat software are you using i love the interface so streamlined i'm using jupyter notebooks
ОтветитьGreat video!
ОтветитьTotally appreciate this, thank you - had to install tensorflow==2.13.0 and kares==2.13.1 - worked great
ОтветитьJust found you. So grateful
ОтветитьJust found you. So happy rn LOL
ОтветитьI wonder why you put your face on the screen in a way to cover many relevant content, instead of putting it on top right corner for example.
ОтветитьAwesome video, thanks so much!
ОтветитьLol can’t even get past the the 5 min mark can’t figure out how to install tensureflow
Ответить4th of May 2024
Models 636,695
so 18.2 times as many now!
Great stuff, thank you.
ОтветитьGood sir, You have genuinely solved the question that was bugging me for the past two months. I have had no trouble training models using the Huggingface Trainer API but never knew what to do afterwards and the course is extremely ambiguous about this. I am not a very good student generally. You have saved me
Ответитьalso now the model count has gone to 650,000 and it has been two years since this video. AI boom ain't no joke.
ОтветитьIf you do it like you did it, you will need to install tf_keras as well.
Ответитьmake a video about coding a local chat-gpt in python.
ОтветитьHow is this a “getting started “ video?
ОтветитьYou had huggingface 2 years ago, but someone else invented ChatGPT? 😅
ОтветитьVery kool. It's on my watch list
ОтветитьDoes the finetuning part still work or do I need to make any changes ?
ОтветитьBy the time I am watching this video, total model numbers are 749,434. Insane!!
ОтветитьWhere is the code?
ОтветитьYou are the best, in a few minutes I get more then from previouse 15-20 videos
Ответитьplease can you tell me how to use CoreML models, how to download them
ОтветитьCan i use pycharm, no vs
Ответитьwhen to train a model with PyTorch loop and when to user the Trainer API? if you can give me a scenario
Ответитьi literally have no idea what is going on
ОтветитьYour smile is.. unsettling.
ОтветитьThis video was made 2 months after the world started to change...
ОтветитьI’m sorry but I feel like I need you to know you have an accent that is so awful and unpleasant that I couldn’t even watch past the 5th second. Again idk if you’ve tried changing it yet but please consider it.
ОтветитьSo first you install pytorch, then you type pip install transformers into the cmd, then you get to the next part of the tutorial by figuring it out yourself? What's even going on?
ОтветитьVideo is basically the HF documentation and copying the official HF videos (same examples) - doesn't add anything new.
ОтветитьU r really awesome keep going
Ответитьjust for the record that it is now october 2024, so 2 years after this video, and the number of models on HF is not 35000 anymore. It's more than 1 million.
ОтветитьThis is a great resource right here! Feels like I just got some new super powers and can tackle a whole bunch of Natural Language problems. Thanks a lot
ОтветитьBut what are the system requirements? Do need a GPU? How powerful a computer do you need?
ОтветитьThanks for the very usefull video, in 15min you explain what other will do it in 5hours
ОтветитьMy HDR is not working
Ответитьbroh, are you g@y?
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