From the source
To use Hugging Face Transformers and
Amazon SageMaker to fine-tune a distributed BART/T5 model for summarization, using the SageMaker Data Parallelism library and the samsum dataset.
From the source
From the source

To use Hugging Face Transformers and
Amazon SageMaker to fine-tune a distributed BART/T5 model for summarization, using the SageMaker Data Parallelism library and the samsum dataset.
From the source
We will use the new Hugging Face DLCs and Amazon SageMaker extension to train a distributed Seq2Seq-transformer model on the summarization task using the transformers and datasets libraries, and then upload the model to huggingface.co and test it.