spacy_legacy_textcat_ensemble_architecture_config_registration.py

1import spacy
2from spacy.language import Language
3
4# spacy-legacy provides outdated architectures for backward compatibility.
5# It is typically used via the config system when loading older models
6# or when explicitly needing a legacy component.
7import spacy_legacy
8
9# Example: Using a legacy architecture in a new component
10config = {
11    "threshold": 0.5,
12    "model": {
13        "@architectures": "spacy-legacy.TextCatEnsemble.v1",
14        "linear_model": {
15            "@architectures": "spacy-legacy.TextCatBOW.v1",
16            "exclusive_classes": True,
17            "ngram_size": 1,
18            "no_output_layer": False
19        },
20        "tok2vec": {
21            "@architectures": "spacy-legacy.HashEmbedCNN.v1",
22            "width": 64,
23            "depth": 2,
24            "embed_size": 2000,
25            "window_size": 1,
26            "maxout_pieces": 3,
27            "subword_features": True
28        }
29    }
30}
31
32nlp = spacy.blank("en")
33# Adding a component using a legacy architecture from the config
34nlp.add_pipe("textcat", config=config)
35
36print(f"Loaded pipeline with legacy components: {nlp.pipe_names}")