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@@ -35,7 +35,7 @@ class Optimizer(torch.optim.Optimizer):
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There are advanced options make training semi-asynchronous (delay_optimizer_step and delay_gradient_averaging)
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or even fully asynchronous (local_updates=True). However, these options require careful tuning.
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- :example: The Optimizer is meant as a drop-in replacement for your regular PyTorch Optimizer:
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+ :example:
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>>> model = transformers.AutoModel("albert-xxlarge-v2")
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>>> dht = hivemind.DHT(initial_peers=INITIAL_PEERS, start=True)
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justheuristic