Sharded checkpoint support #93
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Description of changes:
In version 4.18.0 of Transformers, support for sharded checkpoints was added: huggingface/transformers#16343
Models using this sharded format now exist in the wild, for example in Blip2 (PyTorch) or ESM-2 (TensorFlow+PyTorch)
These models currently fail to load in the AWS Deep Learning Containers with huggingface support, as the model files are filtered out during the initial cache population stage.
This change adds support for matching model files with filenames in the sharded format, as well as the sharded model index files that list the parts.
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