Kernel restarting when the model finds dense topics

[josepius-clemson]

Hi, I find that kernel is restarting when the model is finding dense topics. I face this issue when I use pre-trained BERT embedding and large dataset (7GB). Computing resources: RAM : 199 GB Cores: 24. Please advice how to run the model successfully.

Code

from top2vec import Top2Vec
model = Top2Vec(docs, embedding_model="all-MiniLM-L6-v2",ngram_vocab=True,min_count=400)