Embeddings from model¶
| Path | langsim.modules.local_lm.embeddings_from_model |
| Executable | yes |
Simple module to extract the trained embeddings from a model stored by the training process, which can then be used in a generic way and output to generic formats.
Inputs¶
| Name | Type(s) |
|---|---|
| model | NeuralSixgramKerasModel |
| vocabs | list of Dictionary |
| frequencies | list of NumpyArray |
Outputs¶
| Name | Type(s) |
|---|---|
| embeddings | Embeddings |
Options¶
| Name | Description | Type |
|---|---|---|
| lang_names | (required) Comma-separated list of language IDs to use in output | comma-separated list of strings |