Talk

Hugging Face ecosystem for Local AI/ ML

LanguageEnglish
Audience levelAdvanced
Elevator pitch

Hugging Face is an open-source company that creates libraries such as transformers, tokenizers, safetensors, llama.cpp, ratchet, and much more.

In this talk, we’ll delve into the Hugging Face stack and how different local AI frameworks leverage it.

Abstract

Hugging Face is an open-source company that creates libraries such as transformers, tokenizers, safetensors, llama.cpp, ratchet, and much more.

In this talk, we’ll delve into the Hugging Face stack and how different local AI frameworks leverage it. We’ll also discuss the pain points and joys this causes.

The talk’s purpose is to start a dialogue about what support we can provide to make Local AI even more feasible.

TagsMachine-Learning, Natural Language Processing
Participant

Vaibhav Srivastav

I’m an ML Developer Advocate at Hugging Face focusing on extracting better insights from Text + Audio & on-device ML.

I’ve been a freelancer, tax analyst, consultant, tech speaker and advisor for five years. In the past three years, I’ve invested significant time volunteering for open source and science organisations like Hugging Face, EuroPython, PyCons across APAC, Google Cloud Delhi, and Facebook Developer Circles.

Delhi native, I now live in France!