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
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.
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?
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.
Can you please help explain what to do if you have a Mac OS and your Jupyter Notebook keeps crashing when you try to import pipeline from transformers? The kernel keeps dying.
So 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?
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)
??? 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?
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. 🙂
He covered each details for a beginner and its great.
I cant invent by myself, how to save history of chat for conversation
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.
This beautiful video is always my reference and I keep returning everytime I need it.
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
I like your clear voice, easy explanation and smile.😄
I've been trying to figure this out for days and in the first couple minutes of the video you helped me a lot.
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.
By the time I am watching this video, total model numbers are 749,434. Insane!!
The best tutorial I have ever seen.
You are the best, in a few minutes I get more then from previouse 15-20 videos
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
this is way more better than what AWS guys do ...
Thank you for this quick tutorial! It's exactly what I was looking for :)
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
This is a very helpful introduction! Thank you so much for putting it up!
Glad it was helpful!
It's the best tutorial I've ever see. Thanks!
love the fact you are so positive!!!! keep it up!!
Totally appreciate this, thank you - had to install tensorflow==2.13.0 and kares==2.13.1 - worked great
Exactly what I was looking for. Thank you for sharing!
Simple and straight to the point!
This is awesome. Thanks for the excellent walk through transformers library
Thanks for the tutorial!
In only 1 year we came from 34K models available to almost 300K models, almost 10x increase! 😮
Thank you so much for the tutorial. It was very helpful. The explanation was precise and concise!
thanks for using VSC, it is a better good feeling for me
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' 😊
Thanks! Clear and informative
I'm watching this video in October 2023 and it's so cool to see that now there are 376,348 models
Awesome summary / introduction. Thank you so much!
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.
you are eye blinking that's awesome 😊😊
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
Thanks for the very usefull video, in 15min you explain what other will do it in 5hours
Great and concise explanation! Thank you so much!
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.
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 UA-cam comments
yeah what the hell going on here
Just found you. So grateful
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?
Amazing explanation. Thanks for sharing your knowledge!
Just found you. So happy rn LOL
it throws SSL certification error when I do the commands in python. Please help!
complete and short. awesome.
But what are the system requirements? Do need a GPU? How powerful a computer do you need?
Stellar video. Thanks.
This is a superb tutorial. Many thanks.
U r really awesome keep going
Ur best teacher
Thank you :)
thank you so much
Awesome video, thanks so much!
Dude I so love you❤ for making such useful videos😊😊😊
Very kool. It's on my watch list
The best explanation
Glad you think so!
Loved the comments that appear on timeline
People are dying every 20 seconds
What an awesome introduction! Thanks a lot mate! 💪
3:01 i understood up to this point,the first example 🤗
This is a brilliant video!!!
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.
Thanks for clearly explained tutorial !
Great intro video!
Can you please help explain what to do if you have a Mac OS and your Jupyter Notebook keeps crashing when you try to import pipeline from transformers? The kernel keeps dying.
So 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?
love ur vids man
If you do it like you did it, you will need to install tf_keras as well.
please can you tell me how to use CoreML models, how to download them
Great stuff, thank you.
Great explanation, danke!
when to train a model with PyTorch loop and when to user the Trainer API? if you can give me a scenario
Great video!
Man such a cherpy guy. I loved your energy. Thanks for the video.
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
Nice summary! Thanks!
ModuleNotFoundError: No module named 'transformers'
how can I fix this?
I love this video, very useful!
Thank you
What is this vscode theme? Readability is awesome
I think this was the Night Owl theme
How come I didn’t see any labels data used for training or fine tuning in your examples?
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)
Bro gives off good vibes
What a sweet guy. Amazing work
im running windows on my PC is there any problem downloading Linux and the other codes you described?
I am using a gated model and I am getting authorization error in JS can you please suggest me some resources to add authorization
great video! Thank you
brilliant!!!
What is the best natural language model for answering multiple choice questions in mathematics? CHATGPT is not so good at this..
when I import pipeline, my kernel crashes. Any suggestions? I pip installed the transformers in virtual environment
me too! :( I don't know what to do
Can i use pycharm, no vs
Tutorial for peoples already know Transformers, Pipeline, Tokenizer and Models :)
outstanding, Thank You
Thank you very much for the very informative video and the great examples.
Great lecture. Thank you for sharing your knowledges
really useful intro, thank you!
This is amazing! Thanks :)
do you have a repo for the code shown in the video?
??? 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?
your smile is so cute😍😚
Does the finetuning part still work or do I need to make any changes ?
How to do text generation without the pipeline? I'm not sure why everyone everywhere is doing sentence classification.
what app did you switch to one minute in?
What is the app you are using to code