Open sayakpaul opened 2 years ago
Indeed we should just change ResNet50 to ResNet101 in the tutorail -- nice catch!
Thanks! So if we change the identifier to rn50, should it be ResNet50? Or is there a different handle?
@iseessel just a gentle ping.
Sorry about the delay -- thanks for pinging me, missed this!
There are two options:
Download the Resnet-50 weights instead of the Resnet-101 weights. You can see these here: https://github.com/facebookresearch/vissl/blob/main/MODEL_ZOO.md#SimCLR
Continue to use the Resnet-101 weights and change the config to use Resnet-101 model here: https://github.com/facebookresearch/vissl/blob/main/configs/config/pretrain/simclr/models/resnext101.yaml
Thanks much. Do you want me to keep the issue open until the tutorial is updated? I can also do a PR with the correction.
Yeah if you don't mind sending a correction PR that would be great!
Let's do option 2 to give the tutorials some variety in terms of types of models used.
Alright. Will do it.
📚 VISSL Documentation
Documentation: https://vissl.ai/tutorials/Using_a_pretrained_model_for_inference_V0_1_6.
I am referring to this section (Download the ResNet-50 Simclr weights from the Model Zoo) of the above-mentioned tutorial. Even though it explicitly mentions ResNet50 the download link seems to be indicating the weights of ResNet101:
Possible to ensure the validity i.e., which model architecture do the weights correspond to?