Скачать или смотреть FourthBrain and Hugging Face demo on Building NLP Applications with Transformers

Watch our 1 hour demo session presented by Hugging Face on:
Building NLP Applications with Transformers.
 
We will go hands-on with a demo on using, fine-tuning, accelerating, and deploying Transformer models with Hugging Face open source libraries. 
 
This is great for anyone who is currently an ML practitioner or looking to become one.

00:00 About Today's talk
02:50 Introduction
04:42 Deep Learning 2.0: What has Changed over the Last Few Years?
10:19 Transformers: One of the fastest-growing open source projects
12:35 Agile Machine Learning with Hugging Face Transformers
14:55 Hugging Face Website Overview
16:39 Julien talks about working on some demos
17:25 The Importance of having a problem to solve in Machine Learning
18:21 DEMO - Our problem: Transform a Review into a star rating
20:45 DEMO - Framing the Business Problem as a Machine Learning Problem
21:21 DEMO - Initial Steps: Looking for Models
22:35 DEMO - Initial Steps: Looking for Datasets
24:25 DEMO - Dataset Exploration and Preparation
31:41 DEMO - Preparing the Model for Training
36:51 DEMO - Training the Model
37:52 DEMO - Saving the Model to Hugging Face
41:04 DEMO - Predict locally with a Transformers Pipeline
42:40 DEMO - Predict with Auto Classes
44:12 DEMO - Deploy and predict with the Inference API
47:09 Hugging Face Spaces Overview
54:20 Conclusion and Resources
55:42 Q&A