Downloading and Loading#

These include methods for downloading DaCy models and loading them into memory.

dacy.download#

Functions for downloading DaCy models.

dacy.download.download_model(model, force=False)[source]#

Downloads and install a specified DaCy pipeline.

Parameters

model (str) – string indicating DaCy model, use dacy.models() to get a list of models.
force (bool) – Should it download the model regardless of it already being present? Defaults to False.

Returns

a string of the model location

Return type

str

Example

>>> download_model(model="da_dacy_medium_trf-0.1.0")

dacy.download.get_latest_version(model)[source]#

Returns the latest version of a DaCy model.

dacy.download.models()[source]#

Returns a list of valid DaCy models.

Functionality for loading and locating DaCy models.

dacy.load.load(model, force=False, **kwargs)[source]#

Load a DaCy model as a SpaCy text processing pipeline. If the model is not downloaded it will also download the model.

Parameters

model (str) – the model you wish to load. To see available model see dacy.models()
force (bool) – Should the model be redownloaded even if already downloaded? Default to False.
kwargs (Any) – additional arguments passed to spacy.load()

Returns

A SpaCy text-preprocessing pipeline

Return type

Language

Example

>>> import dacy
>>> dacy.load("da_dacy_medium_trf-0.1.0")
>>> # or equivalently
>>> dacy.load("medium")

dacy.load.models()[source]#

Returns a list of valid DaCy models.

Example

>>> import dacy
>>> dacy.models()

dacy.load.where_is_my_dacy(verbose=True)[source]#

Returns a path to where DaCy models are located. The default the model location can be configured with the environmental variable DACY_CACHE_DIR.

Parameters: verbose (bool, optional) – Toggles the verbosity of the function. Defaults to True.
Returns: path to the location of DaCy models
Return type: str

Example

>>> import dacy
>>> dacy.where_is_my_dacy()