The best explanation that I've ever seen. You answer all the questions I've had. kudos to you
@hugovassard74962 жыл бұрын
This is what I search for days, thank you so much for these very clear explanations on Hugging Face basics !
@HeadshotComing2 жыл бұрын
This guide is pure gold man! Thank you so much! Wish you'd upload more videos, this is truly amazing. 😁
@rupert_ai2 жыл бұрын
Thanks so much! : )
@stevefurness98332 жыл бұрын
Fantastic Tutorial mate you are a natural teacher. I was clicking around Huggingface like a noob for hours until I found your video. Thanks so much for this.
@rupert_ai2 жыл бұрын
Thanks Steve! Appreciated
@aurkom2 жыл бұрын
Eagerly waiting for more videos from this channel!
@rezamazaheri6469 Жыл бұрын
Thank you really really much for explaining fundamental terms.
@rohitkochikkatfrancis10 ай бұрын
You're the reason i can now understand how to code such things easily. PLEASE KEEP DOING WHAT YOU'RE DOING. COZ NO OME EXPLAINS THESE THINGS LIKE U DO
@paruldhariwal3 ай бұрын
It was really the most simplified and to the point video I watched on this topic. Great work!!
@alishehper12 жыл бұрын
Great work! Would love to see more videos from you.
@minty1110 Жыл бұрын
Well done to this young man. Well structured and nicely explained to cater to non experts
@rupert_ai Жыл бұрын
Thanks Minty!
@pablog37032 жыл бұрын
Awesome video mate! Really appreciate how clear you explain everything
@rupert_ai2 жыл бұрын
Glad it was helpful! :)
@littlebylittle22372 жыл бұрын
Thanks for your awesome walkthrough! Looking forward to your next video as well 😃
@sunilsurendrasingh77362 жыл бұрын
Nicely explained 👌. Looking forward to more such videos, thanks for sharing.
@rupert_ai2 жыл бұрын
Thanks a lot!
@HarshChinchakar3 ай бұрын
This is one of the best videos ive ever come across on youtube ngl, GG
@anubhavanand65732 жыл бұрын
Nice intro to hf library. Really helpful 👌
@rupert_ai2 жыл бұрын
Thanks :)
@vijayendrasdm3 жыл бұрын
Thanks for detailed explanation.
@rupert_ai2 жыл бұрын
You're welcome, thanks for watching :)
@jamesnorton49533 жыл бұрын
Very helpful 👍
@adriendemaegdt59023 жыл бұрын
Pretty helpful ! Keep going bro ! Thanks from France
@rupert_ai2 жыл бұрын
Cheers dude! You're welcome from the UK !
@luis96xd2 жыл бұрын
Excellent video, It was well explained and helped me lot into hugging face models, thanks
@rupert_ai2 жыл бұрын
Thank you Luis! Glad you found it helpful
@juliank74086 ай бұрын
Thanks! Really well explained
@rishabhindoria16963 жыл бұрын
really helpful, thank you!
@rupert_ai2 жыл бұрын
Thanks! :)
@mdnayemuddin5595 Жыл бұрын
Useful video. Thank you.
@qandos-nour10 ай бұрын
Great explanation Thanks
@gk4539 Жыл бұрын
this video is worth watching the time!!
@RuloGames12 жыл бұрын
Thanks!!!
@animeshkumar16842 жыл бұрын
Very useful, thanks 👍
@rupert_ai2 жыл бұрын
Thanks!
@user-qj4zr1pj9y Жыл бұрын
Anime -sh Kumar
@smartasiankid Жыл бұрын
Hey man, just found your channel and your videos are very good!
@AaronNicholsonAI3 ай бұрын
Thanks a whole big ton!
@paulkoehler5017 Жыл бұрын
very good explanation thank you very much
@rupert_ai Жыл бұрын
Thanks for watching Paul!
@stevenclinton3585 Жыл бұрын
Outstanding explanations, thanks a ton!
@TheMarComplex Жыл бұрын
Thank you so much!
@april147 Жыл бұрын
I've been looking for something like this for weeks! Easy and Simple explanation! Thank you so much for this informative video! 🤍
@rupert_ai Жыл бұрын
Thank you very much April! Glad you benefited from it :)
@kostik Жыл бұрын
This is great. Hope you'll continue with LLMs.
@ArunKumar-bp5lo2 жыл бұрын
helpful thanks
@megacapojuan2 жыл бұрын
🤩🤩
@joacosolbes92832 жыл бұрын
Great content mister
@rupert_ai2 жыл бұрын
Thanks ! :)
@coneuer15 Жыл бұрын
This is fantastic! You should be a professor in University!
@rupert_ai Жыл бұрын
You're too kind! Thank you!
@gowthamkrishna62832 жыл бұрын
Hey, Nice content!! Can you please make a video explaining your microsoft challenge task using Roberta model?
@rupert_ai2 жыл бұрын
Hey, glad you enjoyed it. Sure, are you after a video on using RoBERTa on 'The Microsoft Research Sentence Completion Challenge' ? Happy to try get that done soon as a next video :)
@gowthamkrishna62832 жыл бұрын
@@rupert_ai yeah , that would be helpful. Thnx brother 😊
@mma-io4uf Жыл бұрын
great video!
@athulvinod61692 жыл бұрын
bro ,am trying to create a speech to text system where only like 30 words need to be recognized...from what i know CNN can do the trick..but do i need to go for end to end models for speech recognition.hope you could reply me asap
@rupert_ai2 жыл бұрын
hey bro, if I were you I'd look at: huggingface.co/docs/transformers/model_doc/speech_to_text
@JuantheJohn12 жыл бұрын
hello @rupert ai, thank you for the amazing tutorial. It says in the tittle "SE1E1". Does that mean there are more episodes coming out? thanks!
@rupert_ai2 жыл бұрын
Check out my channel for more hugging face and computer vision videos and tutorials! :)
@abhishekprakash98032 жыл бұрын
create a model for automated long question and answers generation models
@Madaaguu Жыл бұрын
Great video! Is it possible to apply either the manual or the pre-made pipeline approach to a dataframe/dataset, instead of just those small lists? I wanted to solve a binary classification task but have 2 different text columns. Thanks for the video, good stuff man!
@yousefsalah9539 Жыл бұрын
Very useful, is there any chance you can fine-tune roberta for sentence simplification? You will do me soo good
@user-qj4zr1pj9y Жыл бұрын
This guy really knows what he is talking about. Excellent walkthrough , Thank You !!
@not_amanullah Жыл бұрын
Zoom in can't see clearly 😢
@karansaxena962 жыл бұрын
Hi Rupert, I liked your video. I have one question, sorry if this is something you already answered, I want to create my own bert model from scratch using a specific dataset that's based on my use case. Any tutorials could you please suggest that I can follow for that? Thank you so much in advance.
@dsaiohd2d2qad2 жыл бұрын
you just need to stack some transformer encoders , and train them using your dataset with two specified tasks in the original bert paper, namely NSP and MLM.
@rupert_ai2 жыл бұрын
Hi Karan, sure - it sort of depends what dataset you are using and what task you are trying to achieve? If you look at my other video on multi-label classification then you can get a good template for doing any task with hugging face with any dataset! Let me know if I can help any further :)
@Probly2 жыл бұрын
you dont need to build bert from scratch if you're only looking to re-train with your own dataset. You can add a machine learning layer on top of BERT where bert is used for word embedding and your layer(s) is used for optimizing BERT based on a data set you provide.