Why to use HUGGING FACE? | HUGGING FACE Ecosystem Explained | Tutorial 2 скачать в хорошем качестве

Why to use HUGGING FACE? | HUGGING FACE Ecosystem Explained | Tutorial 2

This tutorial explains the reason to use Hugging Face and entire end to end Hugging Face Ecosystem in a simplified manner. This is the second tutorial of this HUGGING FACE Course. Tutorial 1:    • Journey of TRANSFORMERS from RNN / LSTM | ...   This video covers the following points: 0:00 Why Hugging Face??? 0:15 A Quick Recap 0:58 Typical Steps to implement a new Machine Learning Architecture 2:10 What’s the issue??? 2:39 Hugging Face Transformers 3:43 The Hugging Face Ecosystem 4:25 The Hugging Face Hub 5:45 Tour of Hugging Face Components 8:47 Next Steps Hugging Face is a community and data science platform that provides: Tools that enable users to build, train and deploy ML models based on open source (OS) code and technologies. The Hugging Face transformers package is an immensely popular Python library providing pretrained models that are extraordinarily useful for a variety of natural language processing (NLP) tasks. It previously supported only PyTorch, but, as of late 2019, TensorFlow 2 is supported as well. #transformers #huggingface #machinelearning #naturallanguageprocessing #deeplearning #encoder #decoder #datascience