Instructions to use numind/NuTopic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuTopic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="numind/NuTopic")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuTopic") model = AutoModel.from_pretrained("numind/NuTopic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919a79d00f8712e7dda12094277190766a3dea7a297ade841190e31644b66c21
- Size of remote file:
- 438 MB
- SHA256:
- df0b08426414592510f27a0e22ea53b2cccebce758aed07f7312e017022a34c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.