code: def create_wav2vec2_model(
      config: Wav2Vec2Config,
      *,
      device: Optional[Device] = None,
      dtype: Optional[DataType] = None,
  ) -> Wav2Vec2Model:
      """Create a wav2vec 2.0 model.
  
      :param config:
          The configuration.
      :param device:
          The device on which to initialize modules.
      :param dtype:
          The data type of module parameters and buffers.
      """
      encoder_builder = Wav2Vec2EncoderBuilder(
          config.encoder_config, device=device, dtype=dtype
      )
  
      builder = Wav2Vec2Builder(
          config, encoder_builder, device=device, dtype=dtype
      )
  
      return builder.build_model()
  
imports: from dataclasses import dataclass
  from typing import List, Optional, Tuple
  from torch.nn import GELU, SiLU
  from fairseq2.models.conformer import ConformerBlock, ConformerConvolution
  from fairseq2.models.feature_extractor import SequenceFeatureExtractor
  from fairseq2.models.utils import ArchitectureRegistry
  from fairseq2.models.wav2vec2.feature_extractor import Wav2Vec2FbankFeatureExtractor, Wav2Vec2FeatureExtractor
  from fairseq2.models.wav2vec2.frontend import Wav2Vec2Frontend
  from fairseq2.models.wav2vec2.masker import Wav2Vec2Masker
  from fairseq2.models.wav2vec2.model import Wav2Vec2Model
  from fairseq2.models.wav2vec2.position_encoder import Wav2Vec2PositionEncoder, Wav2Vec2StackedPositionEncoder
  from fairseq2.models.wav2vec2.vector_quantizer import GumbelVectorQuantizer, VectorQuantizer
  from fairseq2.nn.position_encoder import PositionEncoder, RotaryEncoder
  from fairseq2.nn.transformer import SDPA, FeedForwardNetwork, MultiheadAttention, RelativePositionalEncoding, RelativePositionSDPA, StandardFeedForwardNetwork, StandardMultiheadAttention, StandardTransformerEncoder, StandardTransformerEncoderLayer, TransformerEncoder, TransformerEncoderLayer, TransformerNormOrder, create_default_sdpa
  from fairseq2.typing import DataType, Device
label_desc: Use image node_id 3 for calling a global function with example usage: create_wav2vec2_model(config) and returns: builder