The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio

This is the 3rd video in a series on using large language models (LLMs) in practice. Here, I give a beginner-friendly guide to the Hugging Face Transformers library, which provides an easy and cost-free way to work with various open-source language models.

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Intro - 0:00
What is Hugging Face? - 1:05
🤗Transformers - 2:05
Models - 4:40
Installation - 8:24
Sentiment Analysis - 9:49
Summarization - 11:48
Conversational - 13:04
Chatbot UI with Gradio - 14:42
Web app with Spaces - 17:38
What's next? - 20:46

[xjprpnp]

I think your video about LLM is the best one in the youtube, thanks very much!!!

[helrod]

Appreciate you walking through this in an easy-to-understand style.

[Hys-]

so much more helpful than every other tutorial on youtube! Straight to the point, very relevant and quick. Thanks so much!

[vworqtw]

It's very helpful, Thanks for making this video Shaw!.

[GBangalore]

Great introduction. Thanks for putting this together.

[muhammadroshanmughees]

I didn't know of the huggingface spaces. It is amazing. Thank you for this

[msnftvh]

Thank you Shawhin for this really helpful and informative video.

[mohammadalibazyar]

Thanks for compiling the stuff....amazing!

[matthcw]

Extremely useful, I haven't used hugging face, so this is useful!

[spotnuru]

Really useful for beginners like me, thank you for this

[zahrahameed]

Your teaching method is exceptional, providing a balanced blend of theory and practical implementation. I would greatly appreciate it if you could create a video tutorial on training InsightFace using a custom dataset. I'm undertaking my thesis on this topic but struggling to find adequate instructional resources.

[jobarmure]

thx, I love how it was simple and helpful

[fuad]

nice informative and practical video I learned a lot keep sharing nice videos please

[lalpremi]

Thank you for sharing, have a great day :-)

[AniHunsaker]

This is so helpful! can you record a video guiding us how data scientists can work in Transformers library if they work with low-resource languages?

[Techbro-hopp]

Thank you for pulling all actionable code in one place and the appropriate amount of technical details. Many of YT videos lab notebooks are stale considering version changes in library.

Yours is the first one that worked!  
In a span of 12 mins, I could complete two of your exercise. While trying the chatbot example, when I import gradio in colab, it causes import of PyTorch and memory spikes and sometimes colab free vm collapses.

BTW I want to implement a RAG example to query my pdf with tables. Since my laptop is under resources, was looking for some links or videos on how to push a RAG app to H.F. Would appreciate if you point me to one if you have it, or a better link.

[emanuelokoth]

This solved me big time, I am working on a client project and this app I'm surprised it's general purpose and answers fitness related questions that is exactly what I'm working on. Big Thanks! Is there a way to fine-tune the model more for my fitness AI?? Big Thanks!

[souravbarua]

Thank you for sharing. Please make same video using hf api.

[anicole]

Hello...When i'm trying out the gradio chat interface with the vanilla_chatbox function, I run an error saying that the conversation variable is not defined. Why is this the case?

[yumei]

Very useful information. I cannot clone the git repository. Got error: invalid path 'TDA/persistent_homology/homology_example_Homology-Changes-Predicted-Crash??.png', Could you please take a look?