class_docstr: Generic container to quickly build `Datasets` and `DataLoaders`.
class_docstr_tok: ["Generic","container","to","quickly","build","`","Datasets","`","and","`","DataLoaders","`","."]
code: def dataloaders(
      self,
      source,  # The data source
      path: str = ".",  # Data source and default `Learner` path
      verbose: bool = False,  # Show verbose messages
      **kwargs,
  ) -> DataLoaders:
      dsets = self.datasets(source, verbose=verbose)
      kwargs = {**self.dls_kwargs, **kwargs, "verbose": verbose}
      return dsets.dataloaders(
          path=path,
          after_item=self.item_tfms,
          after_batch=self.batch_tfms,
          **kwargs,
      )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from .core import *
  from .load import *
  from .external import *
  from .transforms import *
  from inspect import isfunction, ismethod
  from .load import _collate_types
label_desc: Use image node_id 6 for calling the DataBlock obj's underlying member method code with example usage: obj.dataloaders(source, path, verbose) and returns: dsets