** On one hand, it has been found that large models learn quickly (data and compute efficient) and are significantly more performant when compared to smaller models [1]; on the other hand, it becomes prohibitive to train such models on most of the available hardware. Expand All @@ -27...
** On one hand, it has been found that large models learn quickly (data and compute efficient) and are significantly more performant when compared to smaller models [1]; on the other hand, it becomes prohibitive to train such models on most of the available hardware. Expand All @@...
You can use the familiar transformers APIs to run the models on your own hardware, but you need to pay attention to a couple of details: Expand Down 28 changes: 14 additions & 14 deletions 28 fine-tune-segformer.md Show comments View file Edit file Delete file This file contains bidi...
You can use the familiar transformers APIs to run the models on your own hardware, but you need to pay attention to a couple of details: Expand Down 28 changes: 14 additions & 14 deletions 28 fine-tune-segformer.md Show comments View file Edit file Delete file This file contains bidi...