Sharing models through the Hugging Face Hub
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- git, huggingface
- Domain
- machine-learning, release
Research direction
Start with the linked Hugging Face Hub guide for adding a model and review which pretrained models from the Muzic repository are intended for sharing. Confirm the desired model scope and metadata with the team, then consider the work complete when the agreed models are available in the Microsoft Hugging Face organization.
Written by the indexing model from the issue text.
Description
Hi Muzic team!
Would you be interested in sharing your pretrained models in the Hugging Face Hub? The Hub offers free hosting of over 25K models, and it would make your work more accessible and visible to the rest of the ML community. There's an existing Microsoft organization where your pretrained models could be.
Some of the benefits of sharing your models through the Hub would be:
- wider reach of your work to the ecosystem
- potentially interactive widgets to demo your work
- repos provide useful metadata about their tasks, languages, metrics, etc that make them discoverable
- versioning, commit history and diffs
- multiple features from TensorBoard visualizations, PapersWithCode integration, and more
Creating the repos and adding new models should be a relatively straightforward process if you've used Git before. This is a step-by-step guide explaining the process in case you're interested. Please let us know if you would be interested and if you have any questions.
Happy to hear your thoughts,
Omar and the Hugging Face team
- Dominant language
- Python
- Stars
- 5k
- Forks
- 499
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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