Instructions to use Gloomreach/ru-toxicity-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gloomreach/ru-toxicity-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gloomreach/ru-toxicity-encoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gloomreach/ru-toxicity-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4121cd100dba87228421d6df811c15334a4a4e888ad3cade17d4bf690e96777
- Size of remote file:
- 117 MB
- SHA256:
- baef9a328ee001376c6de8cb01c7c979359cfb35b0bccd1d5cf2974e3310c30b
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