Comments (1)
Please use torch==1.8.1
from compact-transformers.
Related Issues (20)
- validation set HOT 1
- Image scaling and normalization HOT 1
- Dino self-supervised vision transformer HOT 1
- Output of the CCT classifier HOT 2
- Question about the batch size HOT 2
- Thank you for your nice work | Question on Flowers dataset HOT 10
- Training and evaluation scripts in examples folder HOT 1
- NLP Results and CCT size HOT 2
- something wrong with vit-lite HOT 2
- About Mask Autoencoder HOT 2
- Information about Text Classifier HOT 7
- x += self.positional_emb mismatch HOT 2
- yml file settings
- How to test my trained model?
- Unable to Replicate Text Classification Results HOT 3
- Flax implementation of Vit Lite? HOT 1
- can you share more NLP-related scripts? HOT 3
- Need help HOT 1
- Is the accuracy on the test set in the figure 41.8% or 100%? HOT 2
- Trouble with model function call in examples/main.py for CIFAR10 HOT 4
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from compact-transformers.