Instructions to use labdmitriy/rag-topic-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use labdmitriy/rag-topic-model with BERTopic:
from bertopic import BERTopic model = BERTopic.load("labdmitriy/rag-topic-model") - Notebooks
- Google Colab
- Kaggle
Download config.json from labdmitriy/rag-topic-model: direct link, hf CLI and curl.
- Browser
- Download file 296 Bytes
-
https://huggingface.co/labdmitriy/rag-topic-model/resolve/main/config.json
- Command line
-
hf download hf://labdmitriy/rag-topic-model/config.json
-
curl -L -o config.json https://huggingface.co/labdmitriy/rag-topic-model/resolve/main/config.json
296 Bytes
| { | |
| "calculate_probabilities": false, | |
| "language": null, | |
| "low_memory": false, | |
| "min_topic_size": 10, | |
| "n_gram_range": [ | |
| 1, | |
| 1 | |
| ], | |
| "nr_topics": null, | |
| "seed_topic_list": null, | |
| "top_n_words": 10, | |
| "verbose": true, | |
| "zeroshot_min_similarity": 0.7, | |
| "zeroshot_topic_list": null | |
| } |