Error on spacy.load(): "writing directly to language.factories isn't needed anymore in spacy v3. instead..."

[codybakken]

I upgraded to spacy v3 this morning. I'm on 3.0.5. I also downloaded the latest version of 'en_core_web_lg' I used the config file quick start for creating a config file but I get this error with init fill-config or init config options. Update: This also occurs when I attempt to spacy.load('en_core_web_lg) in a Jupyter Notebook. I have added an custom components to the model.

writing directly to language.factories isn't needed anymore in spacy v3. instead, you can use the @language.factory decorator to register your custom component factory or @language.component to register a simple stateless function component that just takes a doc and returns it.

I haven't modified the base_config.cfg file from the quick start at all.

This is an auto-generated partial config. To use it with 'spacy train'
you can run spacy init fill-config to auto-fill all default settings:
python -m spacy init fill-config ./base_config.cfg ./config.cfg
[paths]
train = null
dev = null

[system]
gpu_allocator = null

[nlp]
lang = "en"
pipeline = ["tok2vec","ner"]
batch_size = 1000

[components]

[components.tok2vec]
factory = "tok2vec"

[components.tok2vec.model]
@architectures = "spacy.Tok2Vec.v2"

[components.tok2vec.model.embed]
@architectures = "spacy.MultiHashEmbed.v1"
width = ${components.tok2vec.model.encode.width}
attrs = ["ORTH", "SHAPE"]
rows = [5000, 2500]
include_static_vectors = true

[components.tok2vec.model.encode]
@architectures = "spacy.MaxoutWindowEncoder.v2"
width = 256
depth = 8
window_size = 1
maxout_pieces = 3

[components.ner]
factory = "ner"

[components.ner.model]
@architectures = "spacy.TransitionBasedParser.v2"
state_type = "ner"
extra_state_tokens = false
hidden_width = 64
maxout_pieces = 2
use_upper = true
nO = null

[components.ner.model.tok2vec]
@architectures = "spacy.Tok2VecListener.v1"
width = ${components.tok2vec.model.encode.width}

[corpora]

[corpora.train]
@readers = "spacy.Corpus.v1"
path = ${paths.train}
max_length = 2000

[corpora.dev]
@readers = "spacy.Corpus.v1"
path = ${paths.dev}
max_length = 0

[training]
dev_corpus = "corpora.dev"
train_corpus = "corpora.train"

[training.optimizer]
@optimizers = "Adam.v1"

[training.batcher]
@batchers = "spacy.batch_by_words.v1"
discard_oversize = false
tolerance = 0.2

[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001

[initialize]
vectors = "en_core_web_lg"

[codybakken]

Update: this issue was caused by the spacy-dbpedia-spotlight library when I run spacy.load(model_name). I uninstalled this package and it worked

~\AppData\Local\Continuum\anaconda3\lib\site-packages\spacy_dbpedia_spotlight_init_.py in
5 version = util.pkg_meta["version"]
6
----> 7 Language.factories['overwrite_vectors'] = lambda nlp, **cfg: EntityLinker(nlp, **cfg)
8
9 def load(language_code, nlp=None):