Instructions to use wizardofchance/BERTopic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wizardofchance/BERTopic_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wizardofchance/BERTopic_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 928099a179d409a7ad0ab4a81609a9bdac9d31697fc6fb8e3ad1ca119ba68165
- Size of remote file:
- 27.2 kB
- SHA256:
- 9482e225c3ab8b1a9fe95d4d2010b784e51b8cff7a23b56d3a4dd42d82934ea9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.