Hugging Face + Langchain in 5 mins | Access 200k+ FREE AI models for your AI apps
Ғылым және технология
Learn how to use Hugging Face, and get access to 200k+ AI models while building in Langchain for FREE.
🔗 Links
- Hugging Face tutorials: hf.co/tasks
- Follow me on twitter: / jasonzhou1993
- My discord: / discord
- Join my AI email list: www.ai-jason.com/
⏱️ Timestamps
0:00 Intro
0:34 What is Hugging Face?
2:41 Demo: Turn image into audio story
3:08 Tutorial overview
3:27 Step 1: Image to Text model
5:12 Step 2: LLM
5:43 Step 3: Text to speech model
6:58 Step 4: Build UI with streamlit
8:46 More Hugging Face tutorials
9:10 No code alternative
👋🏻 About Me
My name is Jason Zhou, a product designer who share interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com
#huggingface #langchain #autogpt #ai #nocode #tutorial #stepbystep #langflow #flowise #gpt #falcon
Пікірлер: 209
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.
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👍
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 a clear video summary and a great intro to HF! You have got me across the line.
Great stuff! I have been following along a few of your AI vids. All quality work! Thanks Jason. Subscribed.
Can't thank you enough for these videos man, keep up the great work!
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
@virenujjainiya
Ай бұрын
Hi
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!
Dude, you nailed with clear cut and concise explanation. Super...!!!!
This is dope Jason! Super useful!
This is so well done. Thank you Jason
These are good tutorials. Approachable. Focused. Relaxed.
@AIJasonZ
10 ай бұрын
Thanks mate, appreciate it! Let me know if there is any other topic you are interested pls, try to figure out the next topic :)
@gokulakrishnanr8414
2 ай бұрын
png.pngtree.com/png-clipart/20180613/ourmid/pngtree-fashion-car-private-car-orange-red-car-simulation-illustration-png-image_4484916.png
Thank you for sharing Jason,now I have the superpower to make a model every day,well actually every 5 mins :) Pretty dope.
As always, great content 😄
Thanks Jason! Looking more like this!
Best tutorial I’ve seen in a long time
Great tutorial! Thank you!
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.
Thanks man. It's clear and super helpful.
Really straight forward video. Thank u jason
You made a really superb video. Straight to topic. I felt like learning something new today. You got a new subscriber 🤗
Love your work Jason. You are an inspiration.
Great content Jason - thanks so much! Subscribed!
Dude, your content is REALLY good
Great practical hands-on example! subscribed
After all tutorial, found this tutorial, and I am starting understand how to use hugging face
hey jason , thanks for this video it's a really good introduction for hugging face platform !
wow, that was really helpful. Thank you
your channel is my favorite ai source
Great tutorial, keep them coming, thank you for sharing 🎉
That's a very well done video, thank you! :)
Thank you for this precious piece of content
Fantastic video for someone who is starting on AI today :)
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!
Subscribed. great content
Awesome!
You're a legend mate.
Awesome video straight forward and informative really appreciated
This was so very helpful. Thank you.
Best I’ve seen so far! Thank you 🙏🏼
@AIJasonZ
10 ай бұрын
Thank you Nordin!
the way you describe is really outstanding
Thanks!
Perfect!! Thank you!!
Yes, very good, to the point, top notch and cheers.
Thank you. Appreciate your content.
very helpful 👍
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) ;).
Thanks for this walkthrough tutorial
Te agradezco el contenido que generas, realmente es oro puro!!!
Damm good tutorial! Absolutely on point.
Very clever content idea, concentrated info. Helpful for newcommers and professionals both. Thanks
@Great video! I really enjoyed learning about Hugging Face + Langchain. Thanks for sharing your knowledge!!!!!
clear and concise video, Thanks.
Excellent
Great tutorial!
Thank you sooo much❤
woow u're so amazing. thanks!
Thanks, Jason. this was very informative, I hope you can make more in depth videos on HF own deploy Inference API
helped a lot! thanks
Amazing! Thanks.
Great video !! thanks !
That was amazing thanks
Great stuff⭐
bro u literally created a major project in 9min
good stuff, thanx 💯🤙
Quality video.
Yes! 🔥🔥🔥 🚀
Super useful thank you :-)
great bro..... so much helpful for me
Good job. Amazing
awesome demo.
Great. I especially liked the summary of the code at the end. Thank you. 新年快乐。 我钦佩中国。
Wow😮
Amazing videos !!
great explanation
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…
You are genius
Great. Subscribed
Tea time vedio ❤
Great content!!! btw which Mac model you have?
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!
Hey Jason, Thanks for sharing this knowledge. Will you please post your full codes here? Thanks look forward 👍
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
thank you very useful your video
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
Can we change the Streamlit UI to fastapi and deploy it in docker. For a language model of educational institution such as collegegpt
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 ??
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.
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
@minutecodingtips
6 ай бұрын
Google have all
Great tutorial, github link for your code would be a nice addition.
Hey jason, do we need to pay to get the access token for the HF models or it’s just free for all HF users
good 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
讲得很好啊老哥
what are the pre-requisite py libraries for this program?
Awesomeeee
ikun fan here
Great vid, but always share the link to the github repo where we can see the code