class_docstr: Loads tokenizers used by NLLB models.
class_docstr_tok: ["Loads","tokenizers","used","by","NLLB","models","."]
code: def _load(self, pathname: Path, card: AssetCard) -> NllbTokenizer:
      langs = card.field("langs").as_list(str)
  
      default_lang = card.field("default_lang").as_(str)
  
      return NllbTokenizer(pathname, langs, default_lang)
  
file_path: fairseq2/src/fairseq2/models/nllb/loader.py
imports: from pathlib import Path
  from typing import Any, Dict, final
  import torch
  from fairseq2.assets import AssetCard, asset_store, download_manager
  from fairseq2.models.nllb.builder import NllbConfig, create_nllb_model, nllb_archs
  from fairseq2.models.nllb.tokenizer import NllbTokenizer
  from fairseq2.models.transformer import TransformerModel
  from fairseq2.models.utils import ConfigLoader, ModelLoader, TokenizerLoaderBase
  from fairseq2.models.utils.checkpoint import convert_fairseq_checkpoint
  from fairseq2.typing import finaloverride
label_desc: Use image node_id 1 for calling the NllbTokenizerLoader obj's underlying member method code with example usage: obj._load(pathname, card) and returns: NllbTokenizer