Instructions to use sneakykilli/Topic_Modelling_Airlines_BERTopic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use sneakykilli/Topic_Modelling_Airlines_BERTopic with BERTopic:
from bertopic import BERTopic model = BERTopic.load("sneakykilli/Topic_Modelling_Airlines_BERTopic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d2536ab08626d6da0474e66c9b8e3a445b8d3ff509294db43115a86df309f5f
- Size of remote file:
- 26.2 kB
- SHA256:
- 3aa7bfd5370edbc620b9c82d9fed6d918e920510f7253036c9059eb10da95424
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.