Hugging Face Hub
Client library for downloading and publishing models on huggingface.co hub.
- Status
- Generally available
- Last checked
- Checked · Oct 10, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
The Hugging Face Hub client library allows developers to easily download and publish machine learning models and other files directly from the Hugging Face model repository. This tool is essential for those working with pre-trained models in natural language processing, computer vision, and more.
Hugging Face Hub stands out for its extensive collection of pre-trained models and ease of integration into Python projects, making it a go-to resource for developers working with machine learning.
When it fits — and when it doesn’t
A good fit for
Developers who need to quickly integrate pre-trained models into their projects without setting up complex pipelines.
Researchers looking to share and collaborate on machine learning models with the community.
Look elsewhere if
Projects requiring real-time model updates or extremely low-latency inference, as downloading from the hub may introduce delays.
Teams that require strict control over model versions and do not want to rely on an external repository.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Large model downloads cannot be resumed after interruption, forcing users to restart the entire download process.
An open GitHub issue with 10 reactions reports that when a large download is interrupted, the command restarts from the beginning and discards already downloaded data.
Source: GitHub issue #4196 ↗ - 02
Users cannot locate model files on the Hub using only their SHA256 hash, complicating local cache management.
An open GitHub issue with 14 reactions highlights the lack of a direct query mechanism to find a model file by its SHA256 hash, creating inefficiency when managing local models.
Source: GitHub issue #3069 ↗ - 03
The client library does not warn users when cloning or downloading from repositories flagged as containing malware.
An open GitHub issue with 5 reactions points out that while the Hub website warns about malware, the client library lacks a warning mechanism for unsafe repos during cloning or downloading.
Source: GitHub issue #586 ↗ - 04
The v2.0.0 release introduced breaking changes by removing deprecated APIs and switching the HTTP stack, requiring migration efforts.
The v2.0.0 release notes explicitly list breaking changes involving the removal of all APIs deprecated in 1.x and a move to httpx2, necessitating a migration guide.
Source: release notes v2.0.0 ↗
What it does well
Easy access to a wide range of pre-trained models
Simplified model publishing process
Integration with the Hugging Face ecosystem
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Hugging Face Hub
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Hugging Face Hub’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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