Instructions to use wongzien2000/wolf_topic_model_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use wongzien2000/wolf_topic_model_custom with BERTopic:
from bertopic import BERTopic model = BERTopic.load("wongzien2000/wolf_topic_model_custom") - Notebooks
- Google Colab
- Kaggle
Download topic_embeddings.bin from wongzien2000/wolf_topic_model_custom: direct link, hf CLI and curl.
- Browser
- Download file 13.6 kB
-
https://huggingface.co/wongzien2000/wolf_topic_model_custom/resolve/main/topic_embeddings.bin
- Command line
-
hf download hf://wongzien2000/wolf_topic_model_custom/topic_embeddings.bin
-
curl -L -o topic_embeddings.bin https://huggingface.co/wongzien2000/wolf_topic_model_custom/resolve/main/topic_embeddings.bin
13.6 kB
- Xet hash:
- b0f135f21a95e3975bcbb5dfbab158fb1f76b413ca7bddd4de4d4239137698b1
- Size of remote file:
- 13.6 kB
- SHA256:
- 527247a643b90331a7d04c2dcf4c91678730a8ac1d5f2a17fa49dd8120417f00
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