Closed AlessioGalluccio closed 2 years ago
Hi @AlessioGalluccio,
Thanks for your remark,
I have modified the hubconf.py
file.
Best,
Hugo
Thank you. Unfortunately, the code gives an error while loading the hubconf,py file now. Fortunately, I found that it just needs a simple fix.
Firstly, in cait_models,py there is a "cait_M4" which is not implemented. The fix is to eliminate it in the __all__
variable. Like this:
__all__ = [ 'cait_M48', 'cait_M36', 'cait_S36', 'cait_S24','cait_S24_224', 'cait_XS24','cait_XXS24','cait_XXS24_224', 'cait_XXS36','cait_XXS36_224' ]
Similarly, names in the __all__
variable are not correctly typed in the file resmlp_models.py. I fixed it by writing this:
__all__ = [ 'resmlp_12', 'resmlp_24', 'resmlp_36', 'resmlpB_24' ]
Thanks for pointing out the typo. I have fixed it. Best, Hugo
I tried to load a cait model using this code
feature_extractor = torch.hub.load('facebookresearch/deit:main', 'cait_M48', pretrained=True)
However, I get this error
raise RuntimeError('Cannot find callable {} in hubconf'.format(model))
I think that this error could be solved by adding
from cait_models import *
to the hubconf.py, in order to make cait_M48 and the other cait models callable