Frontier Rounds— AI funding intelligence

Hugging Face Funding History

Hugging Face operates a platform for hosting and sharing machine learning models, datasets and demos. The Hub brings these resources into a common ecosystem, serving developers and researchers who discover, publish and work with models across a range of AI tasks.

Company Overview

  • Model Hubs
  • Developer Platforms
  • Model Inference & Deployment

Founded 2016 · New York City, NY

Official Website

Hugging Face Funding Timeline

Hugging Face’s recorded rounds follow its expansion from a natural language processing library into a platform for sharing models and datasets.

  1. Aug 24, 2023

    Series D

    $235M · $4.5B valuation

    By this round, Hugging Face had expanded beyond natural language processing into computer vision and speech. Its Hub hosted models and datasets across those fields.

    Led by Salesforce Ventures.

    Source · techcrunch.com ↗

  2. Mar 11, 2021

    Series B

    US$40 million

    The financing backed the company as it continued building tools around its natural language processing library, before its later expansion into additional model categories.

    Led by Addition.

    Source · techcrunch.com ↗

  3. Dec 17, 2019

    Series A

    US$15 million

    The financing backed development of Hugging Face’s natural language processing library, which was already used for tasks such as classification and text generation.

    Led by Lux Capital.

    Source · techcrunch.com ↗

Hugging Face Founding Team

Clement Delangue, Julien Chaumond and Thomas Wolf

Hugging Face Products

  • Hugging Face Hub

    Platform for hosting, sharing and discovering machine learning models, datasets, Spaces demos and applications.

    Official Website ↗
    Details and Sources
    Status: activeReviewed: 2026-10-14

  • Hugging Face Inference

    Managed inference offering on Hugging Face covering routed serverless providers, dedicated endpoints and self-hosted Text Generation Inference deployments across the hub's model catalog.

    Official Website ↗
    Details and Sources
    Status: activeReviewed: 2026-10-14

  • Smolagents

    Minimalist open-source agent library from Hugging Face whose CodeAgent writes actions as Python code, working with any language model.

    Official Website ↗
    Details and Sources
    Open-Source ProjectStatus: activeReviewed: 2026-10-14

Related Companies

Explore other AI companies across model research, infrastructure and applications. Each profile keeps its own funding history and sources.

FAQ

What is the difference between a model hub and an inference endpoint?

A hub hosts model artifacts and related information. An endpoint runs a model for requests. Downloading weights and purchasing hosted inference are different activities.

Does a public model repository guarantee an open-source license?

No. Availability of weights does not establish unrestricted use. Read the model’s license and any separate usage conditions.

Why do model cards and dataset cards matter?

They document intended use, data context and limitations. Their completeness varies, so they support evaluation rather than replace it.

What does Hugging Face’s Series D disclose about individual hosted projects?

It describes financing of the company. It does not imply that each repository received funding or that its authors are company employees.

Can download counts be treated as paying customers?

No. Downloads can include repeated automated activity and experimentation. They do not directly reveal customer numbers or commercial revenue.

How should teams evaluate a community model before production use?

Review licensing, provenance, task performance, security risks and maintenance expectations using tests relevant to the intended deployment.