Webinar: How Witty Works leverages Hugging Face to scale inclusive language

Feb 20

--

Witty Works builds a digital writing assistant for inclusive language. We discussed text classification, few-shot learning, the benefits of the SetFit library, and how Hugging Face helped get to production quicker :)

Diversity And Inclusion

Machine Learning

Julien Simon

Written by Julien Simon

Chief Evangelist, Hugging Face (https://huggingface.co)

More from Julien Simon

Using MLflow with Hugging Face Transformers

Julien Simon

Using MLflow with Hugging Face Transformers

In this video, I show how to use MLflow with the Transformers library, and why it’s a good idea to store the logs on the Hugging Face hub…

1 min readJul 15, 2022

--

Accelerating Stable Diffusion with Optimum Neuron and AWS Inferentia2

Julien Simon

Accelerating Stable Diffusion with Optimum Neuron and AWS Inferentia2

In this video, I show you how to accelerate Stable Diffusion and Stable Diffusion XL inference with the Hugging Face Optimum Neuron library…

1 min readSep 15

--

1

Scaling Machine Learning from 0 to millions of users, part 1

Julien Simon
in
Towards Data Science

Scaling Machine Learning from 0 to millions of users, part 1

Breaking out of the laptop

11 min readJan 29, 2019

--

5

Demo: question answering on tabular data

Julien Simon

Demo: question answering on tabular data

Tabular data is everywhere, from spreadsheets to tables embedded in text documents. In this Hugging Face Space, you can use the Google…

1 min readJan 17

--

See all from Julien Simon

Recommended from Medium

What Is Low-Rank Adaptation (LoRA) and Why You Can’t Afford to Ignore It

Adam Louly
in
Level Up Coding

What Is Low-Rank Adaptation (LoRA) and Why You Can’t Afford to Ignore It

Introduction

6 min readSep 15

--

4

All You Need to Know about Vector Databases and How to Use Them to Augment Your LLM Apps

Dominik Polzer
in
Towards Data Science

All You Need to Know about Vector Databases and How to Use Them to Augment Your LLM Apps

A Step-by-Step Guide to Discover and Harness the Power of Vector Databases

24 min readSep 17

--

8

Lists

Predictive Modeling w/ Python

20 stories422 saves

Natural Language Processing

643 stories249 saves

Practical Guides to Machine Learning

10 stories484 saves

New_Reading_List

174 stories119 saves

Fine tuning a Large Language Model

Rajneesh Jha

Fine tuning a Large Language Model

7 min readSep 17

--

Fine-Tuning Large Language Models(LLMs)

Jyotsna Choudhary

Fine-Tuning Large Language Models(LLMs)

Fine-tuning Large Language Models (LLMs) is a powerful technique that allows us to adapt pre-trained models to specific tasks or domains…

6 min readSep 20

--

Best Practices for Deploying Large Language Models (LLMs) in Production

ai geek (wishesh)

Best Practices for Deploying Large Language Models (LLMs) in Production

Large Language Models (LLMs) have revolutionized the field of natural language processing and understanding, enabling a wide range of AI…

10 min readJun 26

--

1

Thoughts from LLama-2 paper

Manav Gupta

Thoughts from LLama-2 paper

Meta recently launched LLama-2 accompanied by a huge paper. I finally got the chance to read through the paper, which includes substantial…

7 min readAug 25

--

See more recommendations

Help
Status
Writers
Blog
Careers
Privacy
Terms
About
Text to speech
Teams