Getting Started With Hugging Face in 15 Minutes | Transformers, Pipeline, Tokenizer, Models

Learn how to get started with Hugging Face and the Transformers Library in 15 minutes! Learn all about Pipelines, Models, Tokenizers, PyTorch & TensorFlow integration, and more!

Hugging Face Tutorial
Hugging Face Crash Course
Sentiment Analysis, Text Generation, Text Classification

Resources:

▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Timestamps:
00:00 Intro
00:40 Installation
01:02 Pipeline
04:37 Tokenizer & Model
08:32 PyTorch / TensorFlow
11:07 Save / Load
11:35 Model Hub
13:25 Finetune

HuggingFace Tutorial
HuggingFace Crash Course

#MachineLearning #DeepLearning #HuggingFace

[LeFinesseGod]

I love the fact you're smiling like a genuinely happy individual. Good vibes. We need more that in the world.

[clintl]

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.

[mustaqimkhan]

By the time I am watching this video, total model numbers are 749, 434. Insane!!

[idchrono]

You are the best, in a few minutes I get more then from previouse 15-20 videos

[theonerm]

I've been trying to figure this out for days and in the first couple minutes of the video you helped me a lot.

[sarapicciau]

Thank you for this quick tutorial! It's exactly what I was looking for :)

[sumowll]

This is a very helpful introduction! Thank you so much for putting it up!

[joseluisbeltramone]

Awesome summary / introduction. Thank you so much!

[erfanshayegani]

Great and concise explanation! Thank you so much!

[SebastianSastre]

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

[umeshkumarasamy]

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

[jyim]

I like your clear voice, easy explanation and smile.😄

[kahwatv]

This is awesome. Thanks for the excellent walk through transformers library

[rayfincle]

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.

[ThomasPrivat]

What an awesome introduction! Thanks a lot mate! 💪

[akshpatel]

He covered each details for a beginner and its great.

[bernds.]

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' 😊

[CezarVasconcelos]

Amazing explanation. Thanks for sharing your knowledge!

[being-awe-some]

Thanku so much for putting together important things in an easy way. Waiting for more of such videos from you.

[ElNachoMacho]

Exactly what I was looking for. Thank you for sharing!