`edsnlp.pipes.trainable.layers.text_cnn`

`TextCnn` [source]

Bases: Module

PARAMETER	DESCRIPTION
`input_size`	Size of the input embeddings TYPE: `int`
`output_size`	Size of the output embeddings Defaults to the `input_size` TYPE: `Optional[int]` DEFAULT: `None`
`out_channels`	Number of channels TYPE: `Optional[int]` DEFAULT: `None`
`kernel_sizes`	Window size of each kernel TYPE: `Sequence[int]` DEFAULT: `(3, 4, 5)`
`activation`	Activation function to use TYPE: `ActivationFunction` DEFAULT: `'relu'`
`residual`	Whether to use residual connections TYPE: `bool` DEFAULT: `True`
`normalize`	Whether to normalize before or after the residual connection TYPE: `Literal['pre', 'post', 'none']` DEFAULT: `'pre'`