ZjSrSSKJr SSKJr SSKJr \"SS9\"SS \555r\"SS9\"S S \555rS S /r g ) zParakeet model configuration.)strict)PreTrainedConfig)auto_docstringznvidia/parakeet-ctc-1.1b) checkpointc|^\rSrSr%SrSrS/rSr\\ S'Sr \\ S'S r \\ S 'S r \\ S 'S r \\ S'Sr\\ S'Sr\\ S'Sr\\ S'S r\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\-\ S 'Sr\\-\ S!'Sr\\-\ S"'Sr\\-\ S#'S$r\\ S%'Sr\\ S&'S'r \\ S('U4S)jr!S*r"U=r#$)+ParakeetEncoderConfiga} convolution_bias (`bool`, *optional*, defaults to `True`): Whether to use bias in convolutions of the conformer's convolution module. conv_kernel_size (`int`, *optional*, defaults to 9): The kernel size of the convolution layers in the Conformer block. subsampling_factor (`int`, *optional*, defaults to 8): The factor by which the input sequence is subsampled. subsampling_conv_channels (`int`, *optional*, defaults to 256): The number of channels in the subsampling convolution layers. num_mel_bins (`int`, *optional*, defaults to 80): Number of mel features. subsampling_conv_kernel_size (`int`, *optional*, defaults to 3): The kernel size of the subsampling convolution layers. subsampling_conv_stride (`int`, *optional*, defaults to 2): The stride of the subsampling convolution layers. dropout_positions (`float`, *optional*, defaults to 0.0): The dropout ratio for the positions in the input sequence. scale_input (`bool`, *optional*, defaults to `True`): Whether to scale the input embeddings. Example: ```python >>> from transformers import ParakeetEncoderModel, ParakeetEncoderConfig >>> # Initializing a `ParakeetEncoder` configuration >>> configuration = ParakeetEncoderConfig() >>> # Initializing a model from the configuration >>> model = ParakeetEncoderModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` This configuration class is based on the ParakeetEncoder architecture from NVIDIA NeMo. You can find more details and pre-trained models at [nvidia/parakeet-ctc-1.1b](https://huggingface.co/nvidia/parakeet-ctc-1.1b). parakeet_encoderpast_key_values hidden_sizenum_hidden_layersnum_attention_headsiintermediate_sizesilu hidden_actTattention_biasconvolution_bias conv_kernel_sizesubsampling_factorsubsampling_conv_channelsP num_mel_binsrsubsampling_conv_kernel_sizesubsampling_conv_strideg?dropoutgdropout_positions layerdropactivation_dropoutattention_dropoutimax_position_embeddings scale_inputg{Gz?initializer_rangec H>URUl[TU] "S0UD6 gN)rnum_key_value_headssuper __post_init__selfkwargs __class__s ڄ/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/parakeet/configuration_parakeet.pyr/#ParakeetEncoderConfig.__post_init__Xs!#'#;#;  '')r-)$__name__ __module__ __qualname____firstlineno____doc__ model_typekeys_to_ignore_at_inferencerint__annotations__rrrrstrrboolrrrrrrr!r"floatr#r$r%r&r'r(r)r/__static_attributes__ __classcell__r3s@r4r r s$L$J#4"5Ks  !s!JND!d!c%(s(L#() #)#$S$GUS[%(us{( Ius{ &) )%(us{(#'S'K#u#((r6r c^\rSrSr%SrSrS\0rSr\ \ S'Sr \ \ S'S r \\ S 'S r\\-S -\ S'S r\ S -\ S 'U4SjrSrU=r$)ParakeetCTCConfig]a ctc_loss_reduction (`str`, *optional*, defaults to `"mean"`): Specifies the reduction to apply to the output of `torch.nn.CTCLoss`. Only relevant when training an instance of [`ParakeetForCTC`]. ctc_zero_infinity (`bool`, *optional*, defaults to `True`): Whether to zero infinite losses and the associated gradients of `torch.nn.CTCLoss`. Infinite losses mainly occur when the inputs are too short to be aligned to the targets. Only relevant when training an instance of [`ParakeetForCTC`]. encoder_config (`Union[dict, ParakeetEncoderConfig]`, *optional*): The config object or dictionary of the encoder. Example: ```python >>> from transformers import ParakeetForCTC, ParakeetCTCConfig >>> # Initializing a Parakeet configuration >>> configuration = ParakeetCTCConfig() >>> # Initializing a model from the configuration >>> model = ParakeetForCTC(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` parakeet_ctcencoder_configi vocab_sizemeanctc_loss_reductionTctc_zero_infinityNr pad_token_idc >[UR[5(a[S0URD6UlOURc[5UlURRUl[ TU]"S0UD6 gr+) isinstancerJdictr r)r.r/r0s r4r/ParakeetCTCConfig.__post_init__sg d))4 0 0"7"N$:M:M"ND   ("7"9D !%!4!4!F!F ''r6)rJr))r7r8r9r:r;r<r sub_configsrKr>r?rMr@rNrArJrRrrOr/rCrDrEs@r4rGrG]sg0 J#%:;KJ$$"t"59ND++d29#L#*#((r6rGN) r;huggingface_hub.dataclassesrconfiguration_utilsrutilsrr rG__all__r,r6r4rYsy$.3#56B(,B(7B(J56(((((7((V  7 8r6