Thank you for this introduction! The Finetuning part at the end was a little fast, so I'll be checking out your other videos to learn more. Thanks again.
Good 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
Excellent tutorial. Cannot believe only 3.7k likes for this. I recommend typing the code out in vscode or other and running in parallel while watching the video.
This 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
just 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.
If we could do all the things (like training 13:57 and inferencing 1:50 ) without tensorflow/pytorch, as shown in the video, why do we even need these frameworks?
Great vid! Is all the processing done in the computer where we are running the scripts? Could there be any inconvenience if we don't have enough processing power? I am a newbie to all of this. Thanks!
I enjoyed the video but perhaps need a "100-level" one with specific use-cases and how you would plan out your development and configuration to get after that use-case. :)
??? More confused than ever. Why is it not graphic interface friendly, not intuitive at all? Why do I have to import and install (what, where, huh?) anything extraneous? After seeing this I'm not even sure this is an image generating tool. What the heck is 'hugging face' anyway?
Hey! Thanks for the great tutorial. How can you make the AI remember the full convo, so it remembers the outputs it gave? For example it says my name is Andrew, but then will say that it's name is Anna when asked again Sorry if its a dumb question:D
2 questions : i get some warning about "right padding", dk how to fix it. I was trying to use conversational pipes but why they are such trash? 50% of times they just repeat, and cant do anything about it. Send help.
Tokenizers can be rather complicated; in many cases they're learned/trained; you'd want to save after fine-tuning them (and just to have them offline i reckon)
I love the fact you're smiling like a genuinely happy individual. Good vibes. We need more that in the world.
That is because you cant see the gun behind him....
@@10xFrontend Cuz he is using Happying Face,,,
He gets a positive score of around 0.9434.
He’s smiling because he knows his accent is horrific
@@Sillybillytomylilly 😀 if there is an accent, it means you know more than 1 language. 🙂
Thank you for this introduction! The Finetuning part at the end was a little fast, so I'll be checking out your other videos to learn more. Thanks again.
He covered each details for a beginner and its great.
I cant invent by myself, how to save history of chat for conversation
Good 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
Excellent tutorial. Cannot believe only 3.7k likes for this. I recommend typing the code out in vscode or other and running in parallel while watching the video.
I've been trying to figure this out for days and in the first couple minutes of the video you helped me a lot.
I like your clear voice, easy explanation and smile.😄
By the time I am watching this video, total model numbers are 749,434. Insane!!
This beautiful video is always my reference and I keep returning everytime I need it.
This 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
Fantastic video, super clear! Thank you for taking the time to explain it so well for a beginner!
You are the best, in a few minutes I get more then from previouse 15-20 videos
Thanks for making this task more inviting. Now I definitively want to know details on the hot-to do the fine tuning over custom content
Thank you for this quick tutorial! It's exactly what I was looking for :)
This is a very helpful introduction! Thank you so much for putting it up!
Glad it was helpful!
this is way more better than what AWS guys do ...
Totally appreciate this, thank you - had to install tensorflow==2.13.0 and kares==2.13.1 - worked great
The best tutorial I have ever seen.
Thanks for the tutorial!
In only 1 year we came from 34K models available to almost 300K models, almost 10x increase! 😮
love the fact you are so positive!!!! keep it up!!
It's the best tutorial I've ever see. Thanks!
Very helpful tutorial! Many thanks for it!
By the way, you speak very clear English and that is extremely helpful for me as a 'non-native speaker' 😊
Thank you so much for the tutorial. It was very helpful. The explanation was precise and concise!
Exactly what I was looking for. Thank you for sharing!
This is awesome. Thanks for the excellent walk through transformers library
I'm watching this video in October 2023 and it's so cool to see that now there are 376,348 models
thanks for using VSC, it is a better good feeling for me
Simple and straight to the point!
This is fantastic I hope you can make more videos covering other pipelines for HuggingFace transformers package.. Many thanks.. 😀
Thanku so much for putting together important things in an easy way. Waiting for more of such videos from you.
Awesome summary / introduction. Thank you so much!
Thanks for the very usefull video, in 15min you explain what other will do it in 5hours
Thanks! Clear and informative
Great and concise explanation! Thank you so much!
Still the best intro to HF in my opinion!
PS: would love to know which theme is used in VS Code, it's great.
I think it is Night Owl
you are eye blinking that's awesome 😊😊
Amazing explanation. Thanks for sharing your knowledge!
Stellar video. Thanks.
Just found you. So happy rn LOL
What an awesome introduction! Thanks a lot mate! 💪
Just found you. So grateful
complete and short. awesome.
This is a superb tutorial. Many thanks.
Awesome video, thanks so much!
The best explanation
Glad you think so!
Thanks for clearly explained tutorial !
But what are the system requirements? Do need a GPU? How powerful a computer do you need?
Loved the comments that appear on timeline
People are dying every 20 seconds
thank you so much
Very kool. It's on my watch list
U r really awesome keep going
Dude I so love you❤ for making such useful videos😊😊😊
Ur best teacher
Thank you :)
eyebrows are talking in there own language
😅
You mean German?
Actually the eyebrows are communicating and Morse code and the messages I'm being held hostage help me escape exclamation
Hahaha I love TH-cam comments
yeah what the hell going on here
Great stuff, thank you.
3:01 i understood up to this point,the first example 🤗
This is a brilliant video!!!
Great intro video!
Thank you
Great explanation, danke!
Great video!
love ur vids man
great video! Thank you
Nice summary! Thanks!
I love this video, very useful!
If you do it like you did it, you will need to install tf_keras as well.
i like the intro video. do you have a full course videos where one can learn from doing thigs from the start until the deployment of the model
just 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.
Awesome tutorial, to the point 🔥
Thx a lot man!!!!
Thank you very much for the very informative video and the great examples.
Great lecture. Thank you for sharing your knowledges
If we could do all the things (like training 13:57 and inferencing 1:50 ) without tensorflow/pytorch, as shown in the video, why do we even need these frameworks?
Bro gives off good vibes
outstanding, Thank You
really useful intro, thank you!
Great vid! Is all the processing done in the computer where we are running the scripts? Could there be any inconvenience if we don't have enough processing power? I am a newbie to all of this. Thanks!
What is this vscode theme? Readability is awesome
I think this was the Night Owl theme
what software are you using i love the interface so streamlined i'm using jupyter notebooks
its ok i found it visual studio thanks 🙂
This is amazing! Thanks :)
brilliant!!!
What a sweet guy. Amazing work
one level of abstraction inside 6:07
tokenization 8:22
I hope one day you will fix your pip install problems.
I enjoyed the video but perhaps need a "100-level" one with specific use-cases and how you would plan out your development and configuration to get after that use-case. :)
when to train a model with PyTorch loop and when to user the Trainer API? if you can give me a scenario
your smile is so cute😍😚
Man such a cherpy guy. I loved your energy. Thanks for the video.
Nice
THANK YOU!!!
??? More confused than ever. Why is it not graphic interface friendly, not intuitive at all? Why do I have to import and install (what, where, huh?) anything extraneous? After seeing this I'm not even sure this is an image generating tool. What the heck is 'hugging face' anyway?
greate video! thanks!
Hey! Thanks for the great tutorial. How can you make the AI remember the full convo, so it remembers the outputs it gave? For example it says my name is Andrew, but then will say that it's name is Anna when asked again
Sorry if its a dumb question:D
Very helpful, thanks!
Glad it was helpful!
2 questions : i get some warning about "right padding", dk how to fix it.
I was trying to use conversational pipes but why they are such trash? 50% of times they just repeat, and cant do anything about it.
Send help.
Tutorial for peoples already know Transformers, Pipeline, Tokenizer and Models :)
Does the finetuning part still work or do I need to make any changes ?
What is the best natural language model for answering multiple choice questions in mathematics? CHATGPT is not so good at this..
Great video! Do you know how I would be able to view a classification report and confusion matrix of a sentiment analysis pipeline?
thanks for this video. But towards 11:32 timestamp, why do we save tokenizer as well? Isn't it a static module that we can simply import again?
Tokenizers can be rather complicated; in many cases they're learned/trained; you'd want to save after fine-tuning them (and just to have them offline i reckon)
Too good 👍