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
| { | |
| "model_type": "bert", | |
| "base_model": "cointegrated/rubert-tiny2", | |
| "architecture": "MultiTaskToxicityEncoder", | |
| "thresholds": { | |
| "profanity": 0.2, | |
| "threat": 0.4, | |
| "illegal": 0.5 | |
| } | |
| } |