Comments (1)
Sorry, just realized that you don't use Google's available checkpoints.
from pytorch-pretrained-vit.
Related Issues (20)
- Will you release the L_16 pretrained model? HOT 3
- self.pos_embedding error training on different dataset HOT 6
- Qs about your code compared with the orignal code.
- When Run [B_16, B_32, L_32 ] models, an error occurs because of position embedding. HOT 1
- Would you consider creating a MLP-Mixer project like this? HOT 2
- Multi head uses just one set of Q, K, V?
- Visualizing attention map HOT 4
- The parameter in transforms.Normalize() for ImageNet-1K
- Multilabel Image classification
- How to train ViT from scratch on Imagenet1k?
- Segmentation fault (core dumped) problem
- About torch.no_gard()
- Extract the transformer intermediate layer HOT 1
- RuntimeError: view size is not compatible with input tensor's size and stride HOT 2
- How to do "Fine-Tuning" or "Feature-Extraction" in the model B_16 (or even L_16)? HOT 2
- RuntimeError: The size of tensor a (197) must match the size of tensor b (577) at non-singleton dimension 1 HOT 1
- pretrained weights of VIT-B on Imagenet1k-only (not 21k+finetune) available?
- Assert 'resize_positional_embedding' prevents creating a model with custom parameters.
- TypeError with ProgressMeter class HOT 1
- What is the pretraining objective?
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from pytorch-pretrained-vit.