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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuTopic") model = AutoModel.from_pretrained("numind/NuTopic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from numind/NuTopic: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/numind/NuTopic/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://numind/NuTopic/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/numind/NuTopic/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 919a79d00f8712e7dda12094277190766a3dea7a297ade841190e31644b66c21
- Size of remote file:
- 438 MB
- SHA256:
- df0b08426414592510f27a0e22ea53b2cccebce758aed07f7312e017022a34c3
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