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This project is amazing! Several Hugging Face followers and members of the "ML for healthcare" community recommended that we contacted you 馃. I see you host and share models/datasets with your own server. Would you be interested in sharing your models in the聽Hugging Face Hub?
This integration would allow you to聽freely download/upload models, and make your work more accessible and visible to the rest of the ML community. We can help you set up a聽TorchXRayVision organization聽(examples,聽Facebook AI聽y聽Stanford聽NLP).
Creating the repos and adding new models should be a relatively straightforward process. This is a聽step-by-step guide聽explaining the process in case you're interested. Please let us know if you would be interested and if you have any questions.
Some of the聽benefits聽of sharing your models through the Hub would be:
Presence in the HF Hub might lower the entry of barrier to TorchXRayVision as well as increase its visibility.
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.
Additionally, we have a library to programmatically access repositories (both downloading pretrained models and pushing, with a lot of nice things such as filtering, caching, etc). If we want to try out this integration, I would suggest you add one or two models manually and then use the聽huggingface_hub聽library to implement downloading those models programmatically from聽torchxrayvision. You might want to check聽our documentation聽to read more about it.
Hi TorchXRayVision team!
This project is amazing! Several Hugging Face followers and members of the "ML for healthcare" community recommended that we contacted you 馃. I see you host and share models/datasets with your own server. Would you be interested in sharing your models in the聽Hugging Face Hub?
This integration would allow you to聽freely download/upload models, and make your work more accessible and visible to the rest of the ML community. We can help you set up a聽TorchXRayVision organization聽(examples,聽Facebook AI聽y聽Stanford聽NLP).
Creating the repos and adding new models should be a relatively straightforward process. This is a聽step-by-step guide聽explaining the process in case you're interested. Please let us know if you would be interested and if you have any questions.
Some of the聽benefits聽of sharing your models through the Hub would be:
Additionally, we have a library to programmatically access repositories (both downloading pretrained models and pushing, with a lot of nice things such as filtering, caching, etc). If we want to try out this integration, I would suggest you add one or two models manually and then use the聽
huggingface_hub
聽library to implement downloading those models programmatically from聽torchxrayvision
. You might want to check聽our documentation聽to read more about it.Relevant references:
Happy to hear your thoughts,
Omar and the Hugging Face team (cc @osanseviero @abidlabs )
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