-
Notifications
You must be signed in to change notification settings - Fork 1
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Downloading trained models #2
Comments
Hi gmberton, email: [email protected] |
That would be perfect: could you upload it here? |
Upload Completed, please check the drive. |
Thanks a lot! I am able to download the weights.
|
# model_.py Line 42
class EVA(nn.Module):
def __init__(self, classes, drop_rate, share_weight=True):
super(EVA, self).__init__()
self.model_1 = timm.create_model('eva02_large_patch14_448.mim_m38m_ft_in22k_in1k',pretrained=True,
num_classes=0)
if share_weight:
self.model_2 = self.model_1
else:
self.model_2 = timm.create_model('eva02_large_patch14_448.mim_m38m_ft_in22k_in1k',pretrained=True,
num_classes=0)
self.classifier = ClassBlock(1024, classes, drop_rate) ![]() https://huggingface.co/timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k (Check Model Comparison) In model_.py, you should replace the string ('eva02_large_patch14_448.mim_m38m_ft_in22k_in1k') at |
Thank you for the repo!
I don't have a baidu account, is there any other way to download the model's weights? If I send you a Google Drive account, could you upload the weights there?
The text was updated successfully, but these errors were encountered: