Instructions to use vidric/bertopic_before_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use vidric/bertopic_before_tuning with BERTopic:
from bertopic import BERTopic model = BERTopic.load("vidric/bertopic_before_tuning") - Notebooks
- Google Colab
- Kaggle
File size: 324 Bytes
24917e8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"calculate_probabilities": false,
"language": "indonesian",
"low_memory": false,
"min_topic_size": 10,
"n_gram_range": [
1,
1
],
"nr_topics": null,
"seed_topic_list": null,
"top_n_words": 10,
"verbose": false,
"embedding_model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
} |