Marco Friaz
1c0826e55b
**Description** This change checks the sagemaker session if there is a default_bucket_prefix set. If a default bucket prefix is specified, it is append it to the s3 path. This was done for hyperparameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks. This ensures sample notebooks that utilize s3, works in SageMaker Unified Studio. Co-authored-by: Marco Friaz <marfriaz@amazon.com>
Sequence to Sequence Modeling for English-German translation
Sequence to Sequence modeling have seen great performance in building models where the input is a sequence of tokens (words for example) and output is also a sequence of tokens. These models have been widely used for machine translation, abstractive summarization, image captioning etc. The notebook SageMaker-Seq2Seq-Translation-English-German.ipynb provides an end-to-end training example of training an English-German translation model.
Also, as the training takes long time to complete, we are providing a section which works with a pre-trained model (a model that we have trained with exact same setup by running the training for ~10 hours) which you can use to test the inference experience.