API References

Similarity Model

Main class which contains encoder models with the head layer.

`Encoder`	Base class for encoder abstraction
`SwitchEncoder`	Allows use alternative embeddings based on input data.
`FasttextEncoder`	Creates a fasttext encoder, which generates vector for a list of tokens based in given fasttext model

`EmptyHead`	Returns input embeddings without any modification
`GatedHead`	Disables or amplifies some components of input embedding.
`SequentialHead`	A torch.nn.Sequential-like head layer that you can freely add any layers.
`SkipConnectionHead`	Unites the idea of gated head and residual connections.
`SoftmaxEmbeddingsHead`	Provides a concatenation of the independent softmax embeddings groups as a head layer
`StackedProjectionHead`	Stacks any number of projection layers with specified output sizes.
`WideningHead`	Implements narrow-wide-narrow architecture.