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I have checked the training hf-training-example.py by default it trains the model using the cpu. Since I have two GPUs. If I enable the GPU in the above code. I get hte Cuda out of memory error. How can I limit it just like the inference example you provided for cuda?
The text was updated successfully, but these errors were encountered:
I have checked the training hf-training-example.py by default it trains the model using the cpu. Since I have two GPUs. If I enable the GPU in the above code. I get hte Cuda out of memory error. How can I limit it just like the inference example you provided for cuda?
The text was updated successfully, but these errors were encountered: