Instructions to use Jiranuwat/topic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use Jiranuwat/topic_model with BERTopic:
from bertopic import BERTopic model = BERTopic.load("Jiranuwat/topic_model") - Notebooks
- Google Colab
- Kaggle
Download config.json from Jiranuwat/topic_model: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/Jiranuwat/topic_model/resolve/main/config.json
- Command line
-
hf download hf://Jiranuwat/topic_model/config.json
-
curl -L -o config.json https://huggingface.co/Jiranuwat/topic_model/resolve/main/config.json
230 Bytes
| { | |
| "calculate_probabilities": true, | |
| "language": null, | |
| "low_memory": false, | |
| "min_topic_size": 10, | |
| "n_gram_range": [ | |
| 1, | |
| 5 | |
| ], | |
| "nr_topics": null, | |
| "seed_topic_list": null, | |
| "top_n_words": 10, | |
| "verbose": true | |
| } |