Instructions to use wongzien2000/model_wolf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use wongzien2000/model_wolf with BERTopic:
from bertopic import BERTopic model = BERTopic.load("wongzien2000/model_wolf") - Notebooks
- Google Colab
- Kaggle
Download topic_embeddings.bin from wongzien2000/model_wolf: direct link, hf CLI and curl.
- Browser
- Download file 38.2 kB
-
https://huggingface.co/wongzien2000/model_wolf/resolve/main/topic_embeddings.bin
- Command line
-
hf download hf://wongzien2000/model_wolf/topic_embeddings.bin
-
curl -L -o topic_embeddings.bin https://huggingface.co/wongzien2000/model_wolf/resolve/main/topic_embeddings.bin
38.2 kB
- Xet hash:
- d8cc54bcc751d1e2d26e5f4e61128fab31f8876064ed74a4531df8663d642782
- Size of remote file:
- 38.2 kB
- SHA256:
- 3e7d9d82eac1386c1c0d9fb6bb1333a4b128ce6cd30c67e559362d748aac3e24
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