Instructions to use numind/NuToxicity-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuToxicity-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="numind/NuToxicity-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuToxicity-multilingual") model = AutoModel.from_pretrained("numind/NuToxicity-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f609e1a50733211612bc029e6c4a7ed01f2f2494c1ad937dcd083a1c947f7517
- Size of remote file:
- 1.11 GB
- SHA256:
- 1210626fe348ace9946166eee813e04e7e0a1a9ba2939fccfb3d4cfabd5e3e63
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