class_docstr: Create multi-modal instances given the path to triples.
class_docstr_tok: ["Create","multi-modal","instances","given","the","path","to","triples","."]
docstr: Return the numeric literals as a tensor.
docstr_tok: ["Return","the","numeric","literals","as","a","tensor","."]
code: def get_numeric_literals_tensor(self) -> torch.FloatTensor:
      """Return the numeric literals as a tensor."""
      return torch.as_tensor(self.numeric_literals, dtype=torch.float32)
  
imports: import logging
  import pathlib
  from typing import Any, ClassVar, Dict, Iterable, Mapping, MutableMapping, Optional, TextIO, Tuple, Union
  import numpy
  import pandas
  import torch
  from .triples_factory import TriplesFactory
  from .utils import load_triples
  from ..typing import EntityMapping, LabeledTriples, MappedTriples
label_desc: Use image node_id 4 for calling the TriplesNumericLiteralsFactory obj's underlying member method code with example usage: obj.get_numeric_literals_tensor() and returns: torch