Instructions to use wongzien2000/wolf_topic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use wongzien2000/wolf_topic_model with BERTopic:
from bertopic import BERTopic model = BERTopic.load("wongzien2000/wolf_topic_model") - Notebooks
- Google Colab
- Kaggle
Download topic_embeddings.bin from wongzien2000/wolf_topic_model: direct link, hf CLI and curl.
- Browser
- Download file 93.4 kB
-
https://huggingface.co/wongzien2000/wolf_topic_model/resolve/main/topic_embeddings.bin
- Command line
-
hf download hf://wongzien2000/wolf_topic_model/topic_embeddings.bin
-
curl -L -o topic_embeddings.bin https://huggingface.co/wongzien2000/wolf_topic_model/resolve/main/topic_embeddings.bin
93.4 kB
- Xet hash:
- 2d1053b03bd065699e33b5644b7b2aa127d27ab3639c80202e3242e0d2999b7a
- Size of remote file:
- 93.4 kB
- SHA256:
- 0e1105ec2aca8e6a5abdd767cf4990886044e93ea54adf15427047112de8d616
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