Transformers Float16. Policy created by passing the string 'mixed_float16' to its construct

Policy created by passing the string 'mixed_float16' to its constructor). py 脚本。 More information can be found in the transformers documentation https://huggingface. float32. float16 精度，能节省一半的显存。 导入模型时，我们可以用如下方式导入torch. "auto" - A torch_dtype entry in the config. float16，分辨率是 0. These models demon-strate competitive prediction accuracy under offline evaluation. 35 MB', 'Total Size': '43. float16 Mar 25, 2021 · Transformers Model Optimization Tool of ONNXRuntime Transformer Model Optimization Tool Overview ONNX Runtime automatically applies most optimizations while loading a transformer model. To use it, you can specify the torch_dtype during initialization or call model.

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