class_docstr: Basic wrapper around several `DataLoader`s with factory methods for NLP problems
class_docstr_tok: ["Basic","wrapper","around","several","`","DataLoader","`","s","with","factory","methods","for","NLP","problems"]
docstr: Create from `csv` file in `path/csv_fname`
docstr_tok: ["Create","from","`","csv","`","file","in","`","path\/csv_fname","`"]
code: def from_csv(
      cls,
      path,
      csv_fname="labels.csv",
      header="infer",
      delimiter=None,
      **kwargs,
  ):
      "Create from `csv` file in `path/csv_fname`"
      df = pd.read_csv(
          Path(path) / csv_fname, header=header, delimiter=delimiter
      )
      return cls.from_df(df, path=path, **kwargs)
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 3 for calling the TextDataLoaders obj's underlying member method code with example usage: obj.from_csv(cls, path, csv_fname, header, delimiter) and returns: cls