torchaudio/models/wav2vec2/model.py [383:425]:
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    aux_num_out: Optional[int] = None,
) -> Wav2Vec2Model:
    # Overriding the signature so that the return type is correct on Sphinx
    """wav2vec2_base(encoder_projection_dropout: float = 0.1, encoder_attention_dropout: float = 0.1, encoder_ff_interm_dropout: float = 0.1, encoder_dropout: float = 0.1, encoder_layer_drop: float = 0.1, aux_num_out: Optional[int] = None) -> torchaudio.models.Wav2Vec2Model

    Build Wav2Vec2Model with "base" architecture from *wav2vec 2.0* [:footcite:`baevski2020wav2vec`]

    Args:
        encoder_projection_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_attention_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_ff_interm_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_layer_drop (float):
            See :py:func:`wav2vec2_model`.
        aux_num_out (int or None, optional):
            See :py:func:`wav2vec2_model`.

    Returns:
        Wav2Vec2Model:
            The resulting model.
    """  # noqa: E501
    return wav2vec2_model(
        extractor_mode="group_norm",
        extractor_conv_layer_config=None,
        extractor_conv_bias=False,
        encoder_embed_dim=768,
        encoder_projection_dropout=encoder_projection_dropout,
        encoder_pos_conv_kernel=128,
        encoder_pos_conv_groups=16,
        encoder_num_layers=12,
        encoder_num_heads=12,
        encoder_attention_dropout=encoder_attention_dropout,
        encoder_ff_interm_features=3072,
        encoder_ff_interm_dropout=encoder_ff_interm_dropout,
        encoder_dropout=encoder_dropout,
        encoder_layer_norm_first=False,
        encoder_layer_drop=encoder_layer_drop,
        aux_num_out=aux_num_out,
    )
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torchaudio/models/wav2vec2/model.py [536:578]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    aux_num_out: Optional[int] = None,
) -> Wav2Vec2Model:
    # Overriding the signature so that the return type is correct on Sphinx
    """hubert_base(encoder_projection_dropout: float = 0.1, encoder_attention_dropout: float = 0.1, encoder_ff_interm_dropout: float = 0.0, encoder_dropout: float = 0.1, encoder_layer_drop: float = 0.05, aux_num_out: Optional[int] = None) -> torchaudio.models.Wav2Vec2Model

    Build HuBERT model with "base" architecture from *HuBERT* [:footcite:`hsu2021hubert`]

    Args:
        encoder_projection_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_attention_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_ff_interm_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_dropout (float):
            See :py:func:`wav2vec2_model`.
        encoder_layer_drop (float):
            See :py:func:`wav2vec2_model`.
        aux_num_out (int or None, optional):
            See :py:func:`wav2vec2_model`.

    Returns:
        Wav2Vec2Model:
            The resulting model.
    """  # noqa: E501
    return wav2vec2_model(
        extractor_mode="group_norm",
        extractor_conv_layer_config=None,
        extractor_conv_bias=False,
        encoder_embed_dim=768,
        encoder_projection_dropout=encoder_projection_dropout,
        encoder_pos_conv_kernel=128,
        encoder_pos_conv_groups=16,
        encoder_num_layers=12,
        encoder_num_heads=12,
        encoder_attention_dropout=encoder_attention_dropout,
        encoder_ff_interm_features=3072,
        encoder_ff_interm_dropout=encoder_ff_interm_dropout,
        encoder_dropout=encoder_dropout,
        encoder_layer_norm_first=False,
        encoder_layer_drop=encoder_layer_drop,
        aux_num_out=aux_num_out,
    )
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