What is the right way to use dataloaders from PyTorch and generators from TensorFlow?
history = model.fit(
inputs=train_loader,
epochs=100,
steps_per_epoch=200,
validation_data=validation_loader,
shuffle=True,
callbacks=[eg.callbacks.ModelCheckpoint("models/high-level", save_best_only=True)],
)
What is the right way to use dataloaders from PyTorch and generators from TensorFlow?
This gave the above error