Exemplos de load_model_from_init_py em Python

Exemplo n.º 1

def load(**overrides):
    disable = overrides.get('disable', [])
    overrides['disable'] = disable + ['neuralcoref']
    nlp = load_model_from_init_py(__file__, **overrides)
    coref = NeuralCoref(nlp.vocab)
    coref.from_disk(nlp.path / 'neuralcoref')
    nlp.add_pipe(coref, name='neuralcoref')
    return nlp

Exemplo n.º 2

def load(**overrides):
    return load_model_from_init_py(__file__, **overrides)

Exemplo n.º 3

Arquivo: __init__.py Projeto: Bluenotes61/corona-ner

def load(**overrides):
    nlp = load_model_from_init_py(__file__, **overrides)
    return nlp

Exemplo n.º 4

def load(**overrides):
    Language.factories['entity_matcher'] = lambda nlp, **cfg: EntityMatcher(
        nlp, **cfg)
    return load_model_from_init_py(__file__, **overrides)

Exemplo n.º 5

Arquivo: sample_init_file.py Projeto: timotif/ner_youtube

def load(**overrides):
    Language.factories['en_narrow'] = lambda nlp, **cfg: EnNarrow(nlp, **cfg)
    Language.factories['person_narrow'] = lambda nlp, **cfg: PersonNarrow(
        nlp, **cfg)
    return load_model_from_init_py(__file__, **overrides)

Exemplo n.º 6

Arquivo: model__init__.py Projeto: mariuszfilip/spacy-pl

def load(**overrides):
    model = load_model_from_init_py(__file__, **overrides)
    lemmatizer = PolishLemmatizer()
    model.tagger.vocab.morphology.lemmatizer = lemmatizer
    # loading our custom, lookup-based lemmatizer
    return model

Exemplo n.º 7

Arquivo: __init__.py Projeto: stacktracehq/scispacy

def load(**overrides):
    Language.factories[
        'combined_rule_sentence_segmenter'] = lambda nlp, **cfg: combined_rule_sentence_segmenter
    nlp = load_model_from_init_py(__file__, **overrides)
    return nlp