their product are not used by google, ms etc - they reimplement and host models made by google, ms etc so they create and managed the organisations for them - I worked there
Thanks, Jason. These types of introductory videos are super useful. Hope you make more intro videos of other platforms and off AI in general to developers who are new to it.
Hey Jason, this introductory video on Hugging Face and its ecosystem is amazing. It helped immensely in understanding what we can do with this platform.
Ok, you deserve a subscribe! You know what... usually I don't get fascinated by people teaching this stuff because I feel that they are redundant and just doing it for views. However, you were very smooth and went out from explaining it into doing a project in nearly 3 mins with explaining, so I have to thank you BRO! KEEP IT UP PLEASE, WE NEED PEOPLE LIKE YOU!!
Thank you Jason, your video rocks! I think it would be even better if you would share the VS Code project with us (without the API keys and other personal info) ;).
really great work, just discovered your channel a couple days ago. Thanks for breaking down the things to the core and putting out so much value to work with in such time periods. Please continueth👍
Excellent breakdown of using Hugging Face for AI apps! Your step-by-step guide is incredibly helpful for both beginners and experienced developers. Thanks for sharing your expertise!
I mostly download videos but after watching this video i had to come back to give it a comment, like , subscription and just give you a watch time. not time wasted .Thank you
Thank you so much, incredibly useful video! I was walking by hugging face for a long time without knowing that this is such an amazing thing. Now I have everything to start working with it right now, thanks Jason!
Thank you! This video has been very useful for me. I've been trying to get into the AI Industry lately as I wanna get more in-depth within it (instead of using wrappers like OpenAI's APIs), and HuggingFace seems like a good place to start. Do you know where I can find more resourses?
Great vids! I’m learning a lot! What combo would you recommend using to parse and clean structured and unstructured data? For example there are 1000 real estate listings in a csv, and many do not contain a piece of data explicitly, but they may contain it in the long unstructured description…
Very good example, thanks for sharing. FYI: I did run into a error 403 with Streamlit, possibly Windows related. I was able to resolve by creating a ./.streamlit/ folder with config.toml file, with the following details: [server] enableXsrfProtection=false enableCORS = false
You obviously need to know some basic coding language to input into the right areas, what resources do you suggest for a beginner to learn the basic inputs?
Great vidéos ! When you said we can use huggingface models with our own token key, does that mean we download the whole model on our personal machine? If yes how to be sure our machine is good enough ??
instead of using the openAI in the llm parameter which is present in the story_llm can we use any other... i mean i,m trying to use hugging face_hub and huggingface_pipeline but it is saying that module is not callable
Though your explanation was to the point, I found it little difficult. I guess, I have to watch the video couple of times. Thanks a ton for the tutorial.🙏
Thanks for the feedback Ravi! Really appreciate, I’m improving the pace, so this is super helpful. Is there particular parts that you wish I can explain a bit better?
A Colab notebook file would help wonders to learn step by step of each concept as 5 min is too little for so much, and please don’t get me wrong you did an excellent job of inviting to your channel with the 5-min headline and delivered, I am proposing this as an solution to explain a bit better " in a format that each one can dive in their own pace without being a 30min video and it doesn’t necessarily must be the same code as the video, but a Jason AI foundations.
I am getting the error "ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length." when using the image to text model
I have a question. In the first part( img2text), I followed the procedure but I got this message (You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.) and "random" text as output. It seems that the model has randon weights (untrained)? What I did wrong?
previously I told you that what I'm going to do is from image to text or more precisely could you tell me what is the best AI to describe an image to me, I know minigpt, hagging face, Bing but it there are probably others? and maybe better? anyway thank you very much for answering me earlier.
I have created a server using node and express and i want a model which can summarize my text which comes from database now pls tell me how can use that model ???
their product are not used by google, ms etc - they reimplement and host models made by google, ms etc so they create and managed the organisations for them - I worked there
Hi
Thanks, Jason. These types of introductory videos are super useful. Hope you make more intro videos of other platforms and off AI in general to developers who are new to it.
Hey Jason, this introductory video on Hugging Face and its ecosystem is amazing. It helped immensely in understanding what we can do with this platform.
Thank you for sharing Jason,now I have the superpower to make a model every day,well actually every 5 mins :)
Pretty dope.
Ok, you deserve a subscribe!
You know what... usually I don't get fascinated by people teaching this stuff because I feel that they are redundant and just doing it for views. However, you were very smooth and went out from explaining it into doing a project in nearly 3 mins with explaining, so I have to thank you BRO!
KEEP IT UP PLEASE, WE NEED PEOPLE LIKE YOU!!
After all tutorial, found this tutorial, and I am starting understand how to use hugging face
Thank you Jason, your video rocks! I think it would be even better if you would share the VS Code project with us (without the API keys and other personal info) ;).
really great work, just discovered your channel a couple days ago. Thanks for breaking down the things to the core and putting out so much value to work with in such time periods. Please continueth👍
Excellent breakdown of using Hugging Face for AI apps! Your step-by-step guide is incredibly helpful for both beginners and experienced developers. Thanks for sharing your expertise!
So what is langchain. You put it in the title, but dont mention it
Lang chain is a framework allow us to make web apps having AI usage easily without much syntax
An application that allows us to work over llm
I mostly download videos but after watching this video i had to come back to give it a comment, like , subscription and just give you a watch time.
not time wasted .Thank you
Thank you so much, incredibly useful video! I was walking by hugging face for a long time without knowing that this is such an amazing thing. Now I have everything to start working with it right now, thanks Jason!
Most of the questions I had about the huggingface ecosystem were answered in the video. Thank you for making this video.
Thank you! The explanation is straight to the point and easy to understand.
Thank you for a clear video summary and a great intro to HF! You have got me across the line.
Fantastic video for someone who is starting on AI today :)
You have earned a subscriber my friend. Thanks for such an awesome tutorial.
thanks, jason. This is a good introductory video about huggingface
Thank you! This video has been very useful for me. I've been trying to get into the AI Industry lately as I wanna get more in-depth within it (instead of using wrappers like OpenAI's APIs), and HuggingFace seems like a good place to start. Do you know where I can find more resourses?
Great stuff! I have been following along a few of your AI vids. All quality work! Thanks Jason. Subscribed.
Very helpful tutorial for beginners, thanks and subscribed!
your channel is my favorite ai source
thanks Jason , content is really good but text is very small invisible to view in laptop screen , please zoom out while you show the code.
bro u literally created a major project in 9min
exactly haha
You made a really superb video. Straight to topic. I felt like learning something new today. You got a new subscriber 🤗
Jason, you are a walking GOAT! Keep going, please!
Great. I especially liked the summary of the code at the end.
Thank you. 新年快乐。 我钦佩中国。
Straight forward, I love it
Very clever content idea, concentrated info. Helpful for newcommers and professionals both. Thanks
Thanks, Jason. this was very informative, I hope you can make more in depth videos on HF own deploy Inference API
the way you describe is really outstanding
Dude, you nailed with clear cut and concise explanation. Super...!!!!
Best tutorial I’ve seen in a long time
Really straight forward video. Thank u jason
Love your work Jason. You are an inspiration.
Best I’ve seen so far! Thank you 🙏🏼
Thank you Nordin!
Where did you use Langchain?
Excellent delivery! Great video!
hey jason , thanks for this video it's a really good introduction for hugging face platform !
Thanks Jason! Looking more like this!
Thanks man, also showing how the transformers get it a bit wrong, like the lady is laughing hard, not smiling in love: 2:54.
Instant sub, good work on the video
Amazing Video bro. In a small time, you explained alot of things
Great vids! I’m learning a lot!
What combo would you recommend using to parse and clean structured and unstructured data? For example there are 1000 real estate listings in a csv, and many do not contain a piece of data explicitly, but they may contain it in the long unstructured description…
Great tutorial, github link for your code would be a nice addition.
Dude, your content is REALLY good
Very good example, thanks for sharing.
FYI: I did run into a error 403 with Streamlit, possibly Windows related. I was able to resolve by creating a ./.streamlit/ folder with config.toml file, with the following details:
[server]
enableXsrfProtection=false
enableCORS = false
Thanks Jason! May I ask, how did you learn all of these? Can you suggest a roadmap we can follow in learning this space? Thank you
Google have all
You obviously need to know some basic coding language to input into the right areas, what resources do you suggest for a beginner to learn the basic inputs?
Just read about python, pip and installing libraries
Awesome video straight forward and informative really appreciated
Great vidéos !
When you said we can use huggingface models with our own token key, does that mean we download the whole model on our personal machine? If yes how to be sure our machine is good enough ??
could you make your text editor font sizes bigger for next time was straining to see
Thanks mate, will do!
Great content Jason - thanks so much! Subscribed!
Thanks man. It's clear and super helpful.
Yes, very good, to the point, top notch and cheers.
This is so well done. Thank you Jason
instead of using the openAI in the llm parameter which is present in the story_llm can we use any other... i mean i,m trying to use hugging face_hub and huggingface_pipeline but it is saying that module is not callable
Great practical hands-on example! subscribed
@Great video! I really enjoyed learning about Hugging Face + Langchain. Thanks for sharing your knowledge!!!!!
This was so very helpful. Thank you.
Though your explanation was to the point, I found it little difficult. I guess, I have to watch the video couple of times. Thanks a ton for the tutorial.🙏
Thanks for the feedback Ravi! Really appreciate, I’m improving the pace, so this is super helpful.
Is there particular parts that you wish I can explain a bit better?
A Colab notebook file would help wonders to learn step by step of each concept as 5 min is too little for so much, and please don’t get me wrong you did an excellent job of inviting to your channel with the 5-min headline and delivered, I am proposing this as an solution to explain a bit better " in a format that each one can dive in their own pace without being a 30min video and it doesn’t necessarily must be the same code as the video, but a Jason AI foundations.
I am getting the error
"ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length."
when using the image to text model
This is dope Jason! Super useful!
Thanks!
wow, that was really helpful. Thank you
Damn. Super useful.
So, how can I train my own audio voice model?
Thanks mate, appreciate it!
There are a few options, the easist one i use is eleven labs!
Can't thank you enough for these videos man, keep up the great work!
You're a legend mate.
Great content!!!
btw which Mac model you have?
Great tutorial! Thank you!
clear and concise video, Thanks.
i am facing an error that says [ KeyError: 'blip' ] , is anyone else facing that or can anyone help with this
Thank you for this precious piece of content
Te agradezco el contenido que generas, realmente es oro puro!!!
As always, great content 😄
Hi Jason. Great tutorial video. I've tried it and it works. However in my project, the audio.flac cannot be played. Could you probably help. Tq
That's a very well done video, thank you! :)
I have a question. In the first part( img2text), I followed the procedure but I got this message (You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.) and "random" text as output. It seems that the model has randon weights (untrained)? What I did wrong?
Solved: I had to run it in the pytorch environment
Great video !! thanks !
Thanks for this walkthrough tutorial
Hello Jason.... Thanks for wonderful video..
I have tried it.... But facing problem in playing audio 🔊.... Could please help me to solve the problem
Subscribed. great content
Amazing! Thanks.
previously I told you that what I'm going to do is from image to text or more precisely could you tell me what is the best AI to describe an image to me, I know minigpt, hagging face, Bing but it there are probably others? and maybe better?
anyway thank you very much for answering me earlier.
but u didnt provided the code ??
can you please provide this code.
Can we change the Streamlit UI to fastapi and deploy it in docker. For a language model of educational institution such as collegegpt
I bet it was you on the image :)
I have created a server using node and express and i want a model which can summarize my text which comes from database now pls tell me how can use that model ???
How do I link the form to Blogger? If you have a video explaining the method, please give it to me
Do you mean embed the form for uploading image on your blog?
@@AIJasonZ No, I mean using a bot from huggingface in a blogger blog
Yes! 🔥🔥🔥 🚀
How I can create my text classification model? Tutorial in that?
Thank you. Appreciate your content.
Great tutorial. But some libraries depreciated, so need to make changes accordingly. Also gpt model used in this tutorial is not working now.
So it is now obsolete...thanks
Great tutorial, keep them coming, thank you for sharing 🎉
Do you have example with free model, not langchain? thanks
You are genius
Wait, where did the .flac information come from?
Tea time vedio ❤
great explainantion thanks a lot