Pretrained Models

[silver-fox-12]

I wonder if it aligns with the project goals to support the integration of pretrained models.

A possible solution could be to host the pretrained models on the Huggingface Model Hub. It would then be possible to build a wrapper that loads a model from the hub & directly use it for inference to lower the entry barrier for noobs like me 🙂

[wyli]

duplicate of #271. Thanks for the suggestions, I'm converting this into a discussion.

Some of the models in this project already support loading from the pretrained, please see:

• https://github.com/Project-MONAI/MONAI/search?q=pretrained
• https://github.com/Project-MONAI/MONAI/blob/dev/monai/apps/mmars/model_desc.py

• MONAI/monai/apps/mmars/mmars.py

  Lines 207 to 210 in 29e9ab3

  	Examples::
  	>>> from monai.apps import load_from_mmar
  	>>> unet_model = load_from_mmar("clara_pt_prostate_mri_segmentation_1", mmar_dir=".", map_location="cpu")
  	>>> print(unet_model)