text: Title: NaN Representative_Docs
  Body: Hi @MaartenGr,
  
  I keep getting NaN values as representative documents when I load my model, after saving it with either 'safetensors' or 'pytorch'.
  Here is my code:
  `
  embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
  topic_model.save('/content/drive/MyDrive/boombust_cs_model', serialization="safetensors", 
  save_embedding_model= embedding_model )`
  `BERTopic.load('/content/drive/MyDrive/boombust_cs_model', embedding_model= embedding_model)`
  
  What might be the issue?