Instructions to use wongzien2000/wolf_topic_model_repKB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use wongzien2000/wolf_topic_model_repKB with BERTopic:
from bertopic import BERTopic model = BERTopic.load("wongzien2000/wolf_topic_model_repKB") - Notebooks
- Google Colab
- Kaggle
Download config.json from wongzien2000/wolf_topic_model_repKB: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/wongzien2000/wolf_topic_model_repKB/resolve/main/config.json
- Command line
-
hf download hf://wongzien2000/wolf_topic_model_repKB/config.json
-
curl -L -o config.json https://huggingface.co/wongzien2000/wolf_topic_model_repKB/resolve/main/config.json
357 Bytes
| { | |
| "calculate_probabilities": true, | |
| "language": null, | |
| "low_memory": false, | |
| "min_topic_size": 10, | |
| "n_gram_range": [ | |
| 1, | |
| 1 | |
| ], | |
| "nr_topics": null, | |
| "seed_topic_list": null, | |
| "top_n_words": 5, | |
| "verbose": true, | |
| "zeroshot_min_similarity": 0.7, | |
| "zeroshot_topic_list": null, | |
| "embedding_model": "sentence-transformers/all-MiniLM-L6-v2" | |
| } |