huggingface_hub
Welcome to the Hub repo! Here you can find all the open source things related to the Hugging Face Hub.
What can you find in this repo?
huggingface_hub, a client library to download and publish on the Hugging Face Hub as well as extracting useful information from there.api-inference-community, the Inference API for open source machine learning libraries.widgets, the open-sourced widgets that allow people to try out the models in the browser.interfaces, Typescript definition files for the Hugging Face Hub.docs, containing the official Hugging Face Hub documentation.
The huggingface_hub client library
This library allows anyone to work with the Hub repositories: you can clone them, create them and upload your models to them. On top of this, the library also offers methods to access information from the Hub. For example, listing all models that meet specific criteria or get all the files from a specific repo. You can find the library implementation here.
Integrating to the Hub.
We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations here.
The advantages are:
- Free model hosting for libraries and their users.
- Built-in file versioning, even with very large files, thanks to a git-based approach.
- Hosted inference API for all models publicly available.
- In-browser widgets to play with the uploaded models.
- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable.
- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe.
- Usage stats and more features to come.
If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a step-by-step guide with ❤️ showing how to do this integration.
Inference API integration into the Hugging Face Hub
In order to get a functional Inference API on the Hub for your models (and thus, cool working widgets!) check out this doc. There is a docker image for each library. Within the image, you can find the implementation for supported pipelines for the given library.
Widgets
All our widgets are open-sourced. Feel free to propose and implement widgets. You can try all of them out here.
Code Snippets
We'll implement a few tweaks to improve the UX for your models on the website – let's use Asteroid as an example.
Model authors add an asteroid tag to their model card and they get the advantages of model versioning built-in
We add a custom "Use in Asteroid" button. When clicked, you get a library-specific code sample that you'll be able to specify. 🔥
Feedback (feature requests, bugs, etc.) is super welcome 💙💚💛💜♥️🧡
Release files for huggingface-hub 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| huggingface_hub-0.0.11.tar.gz | 33.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| huggingface_hub-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 71.6 kB
Release files / huggingface_hub-0.0.11.tar.gz
| Download URL | huggingface_hub-0.0.11.tar.gz |
|---|---|
| Size | 33.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / huggingface_hub-0.0.11-py3-none-any.whl
| Download URL | huggingface_hub-0.0.11-py3-none-any.whl |
|---|---|
| Size | 37.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
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