BERTopic (Can't retrieve unregistered extension attribute 'trf_data'. Did you forget to call the set_extension method?)

Good morning, this is my code obtained from
the following page: https://spacy.io/universe/project/bertopic after running it I get the following error: Can't retrieve unregistered extension attribute 'trf_data'. Did you forget to call the set_extension method?

How can I solve this error?

Instalación de las bibliotecas necesarias
!pip install spacy
!pip install bertopic
!pip install scikit-learn

Descargar el modelo de spaCy en inglés (medium)
!python -m spacy download en_core_web_md

Cargar las bibliotecas y el modelo
import spacy
from bertopic import BERTopic
from sklearn.datasets import fetch_20newsgroups

Cargar los documentos de la base de datos de 20 Newsgroups
docs = fetch_20newsgroups(subset='all', remove=('headers', 'footers', 'quotes'))['data']

Cargar el modelo de spaCy en inglés (medium) excluyendo componentes innecesarios
nlp = spacy.load('en_core_web_md', exclude=['tagger', 'parser', 'ner', 'attribute_ruler', 'lemmatizer'])

Crear el modelo BERTopic con spaCy
topic_model = BERTopic(embedding_model=nlp)
topics, probs = topic_model.fit_transform(docs)

I have tried changing the version of spacy to one that is between version 3.3.0 and version 3.4.0, I still get the same error trying all of them spacy models (sm, md, lg, trf)

Start with the spaCy BERTopic example at https://spacy.io/universe/project/bertopic and run the package installation, en_core_web_md loading, and topic_model.fit_transform(docs) steps shown in the issue. Compare the installed spaCy, BERTopic, and model versions while reproducing the trf_data error; done means the example completes without the unregistered extension-attribute failure.