Instructions to use numind/NuTopic-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuTopic-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="numind/NuTopic-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuTopic-multilingual") model = AutoModel.from_pretrained("numind/NuTopic-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae9da6e68be11c9ca9c2074be1021fe0f3521f92b2ad377c6bc902b10a99c150
- Size of remote file:
- 1.11 GB
- SHA256:
- 36ebaf286ba4520dec276612b850336fe4c0d923ff1d4dd7f14b8fa4c9a5233a
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