Comments (2)
There are some backup torrents on the websites. Link
But not quite sure if downloading it is legal. If it's not, notify me and I'll remove this message.
from big_transfer.
There are some backup torrents on the websites. Link
But not quite sure if downloading it is legal. If it's not, notify me and I'll remove this message.
OK, thanks.
from big_transfer.
Related Issues (20)
- [doc] Clarification on the input normalisation format.
- do not find models that trained on JFT300M?
- how to use my custom trained model
- Jax from flax.nn to flax.linen?
- Fine tuning from specific layer number
- Top-1 accuracy on few-shot tasks
- what's the meaning of Ex/cls HOT 1
- Linear warmup learning rate is 0 when step = 0
- Unable to replicate published benchmark accuracy on cifar10 dataset
- "flip_left_right" in input_pipeline_tf2_or_jax.py
- convert pth to onnx will give error"Exporting the operator var_mean to ONNX opset version {version} is not supported"
- Reproducing problems
- is there any trick to improve bit's perfermance on cifar10?
- module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cuda:1 HOT 1
- pad then pool in root defintion
- Pretraining hyperparameter conflict between code and paper
- 'StandardizedConv2D' object has no attribute '_convolution_op' HOT 2
- Is "post pre-training (Imagenet weight init) on custom dataset" possible with this git code?
- Possibly Wrong Model Name in README?
- How many learnable parameters does the ResNet-152x4 BiT model has?
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